2024-08-22T20:25:40.8521520Z Current runner version: '2.319.1'
2024-08-22T20:25:40.8527674Z Runner name: '8-core-ubuntu_537d69be090a'
2024-08-22T20:25:40.8528406Z Runner group name: 'Default'
2024-08-22T20:25:40.8529154Z Machine name: 'runner'
2024-08-22T20:25:40.8546814Z ##[group]Operating System
2024-08-22T20:25:40.8547385Z Ubuntu
2024-08-22T20:25:40.8547686Z 22.04.4
2024-08-22T20:25:40.8548147Z LTS
2024-08-22T20:25:40.8548486Z ##[endgroup]
2024-08-22T20:25:40.8548847Z ##[group]Runner Image
2024-08-22T20:25:40.8549362Z Image: ubuntu-22.04
2024-08-22T20:25:40.8549777Z Version: 20240818.1.0
2024-08-22T20:25:40.8550746Z Included Software: https://github.com/actions/runner-images/blob/ubuntu22/20240818.1/images/ubuntu/Ubuntu2204-Readme.md
2024-08-22T20:25:40.8552256Z Image Release: https://github.com/actions/runner-images/releases/tag/ubuntu22%2F20240818.1
2024-08-22T20:25:40.8553115Z ##[endgroup]
2024-08-22T20:25:40.8568594Z ##[group]GITHUB_TOKEN Permissions
2024-08-22T20:25:40.8570214Z Contents: read
2024-08-22T20:25:40.8570899Z Metadata: read
2024-08-22T20:25:40.8571371Z Packages: read
2024-08-22T20:25:40.8571845Z ##[endgroup]
2024-08-22T20:25:40.8574917Z Secret source: Actions
2024-08-22T20:25:40.8575563Z Prepare workflow directory
2024-08-22T20:25:40.9481186Z Prepare all required actions
2024-08-22T20:25:40.9642178Z Getting action download info
2024-08-22T20:25:41.2083695Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-08-22T20:25:41.3512034Z Download action repository 'actions/setup-python@v4' (SHA:65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236)
2024-08-22T20:25:41.7205119Z Complete job name: test-cpu-compile (x86_64, stories15M)
2024-08-22T20:25:41.8157072Z ##[group]Run actions/checkout@v3
2024-08-22T20:25:41.8157699Z with:
2024-08-22T20:25:41.8158180Z   repository: pytorch/torchchat
2024-08-22T20:25:41.8158967Z   token: ***
2024-08-22T20:25:41.8159369Z   ssh-strict: true
2024-08-22T20:25:41.8159845Z   persist-credentials: true
2024-08-22T20:25:41.8160330Z   clean: true
2024-08-22T20:25:41.8160774Z   sparse-checkout-cone-mode: true
2024-08-22T20:25:41.8161313Z   fetch-depth: 1
2024-08-22T20:25:41.8161721Z   fetch-tags: false
2024-08-22T20:25:41.8162110Z   lfs: false
2024-08-22T20:25:41.8162523Z   submodules: false
2024-08-22T20:25:41.8162956Z   set-safe-directory: true
2024-08-22T20:25:41.8163401Z env:
2024-08-22T20:25:41.8163913Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:41.8164561Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:41.8165050Z ##[endgroup]
2024-08-22T20:25:41.9173043Z Syncing repository: pytorch/torchchat
2024-08-22T20:25:41.9175137Z ##[group]Getting Git version info
2024-08-22T20:25:41.9176272Z Working directory is '/home/runner/work/torchchat/torchchat'
2024-08-22T20:25:41.9177343Z [command]/usr/bin/git version
2024-08-22T20:25:42.0244014Z git version 2.46.0
2024-08-22T20:25:42.0270504Z ##[endgroup]
2024-08-22T20:25:42.0288446Z Temporarily overriding HOME='/home/runner/work/_temp/97e68016-7b84-404e-9245-62a77ee33897' before making global git config changes
2024-08-22T20:25:42.0290079Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:25:42.0291451Z [command]/usr/bin/git config --global --add safe.directory /home/runner/work/torchchat/torchchat
2024-08-22T20:25:42.0473873Z Deleting the contents of '/home/runner/work/torchchat/torchchat'
2024-08-22T20:25:42.0477796Z ##[group]Initializing the repository
2024-08-22T20:25:42.0481129Z [command]/usr/bin/git init /home/runner/work/torchchat/torchchat
2024-08-22T20:25:42.1172589Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-08-22T20:25:42.1173879Z hint: is subject to change. To configure the initial branch name to use in all
2024-08-22T20:25:42.1175001Z hint: of your new repositories, which will suppress this warning, call:
2024-08-22T20:25:42.1175921Z hint:
2024-08-22T20:25:42.1176465Z hint: 	git config --global init.defaultBranch <name>
2024-08-22T20:25:42.1177128Z hint:
2024-08-22T20:25:42.1177913Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-08-22T20:25:42.1179331Z hint: 'development'. The just-created branch can be renamed via this command:
2024-08-22T20:25:42.1180177Z hint:
2024-08-22T20:25:42.1180698Z hint: 	git branch -m <name>
2024-08-22T20:25:42.1259043Z Initialized empty Git repository in /home/runner/work/torchchat/torchchat/.git/
2024-08-22T20:25:42.1270211Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-08-22T20:25:42.1356681Z ##[endgroup]
2024-08-22T20:25:42.1357758Z ##[group]Disabling automatic garbage collection
2024-08-22T20:25:42.1360061Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:25:42.1389541Z ##[endgroup]
2024-08-22T20:25:42.1390359Z ##[group]Setting up auth
2024-08-22T20:25:42.1395477Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:25:42.1424191Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2024-08-22T20:25:42.2975652Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:25:42.3003530Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2024-08-22T20:25:42.3247853Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:25:42.3281507Z ##[endgroup]
2024-08-22T20:25:42.3283037Z ##[group]Fetching the repository
2024-08-22T20:25:42.3289358Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9:refs/remotes/pull/1044/merge
2024-08-22T20:25:42.5957602Z remote: Enumerating objects: 237, done.        
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2024-08-22T20:25:42.6014059Z remote: Counting objects: 100% (237/237)        
2024-08-22T20:25:42.6014759Z remote: Counting objects: 100% (237/237), done.        
2024-08-22T20:25:42.6015315Z remote: Compressing objects:   0% (1/193)        
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2024-08-22T20:25:42.6110916Z remote: Compressing objects:  56% (109/193)        
2024-08-22T20:25:42.6111468Z remote: Compressing objects:  57% (111/193)        
2024-08-22T20:25:42.6111977Z remote: Compressing objects:  58% (112/193)        
2024-08-22T20:25:42.6112484Z remote: Compressing objects:  59% (114/193)        
2024-08-22T20:25:42.6117744Z remote: Compressing objects:  60% (116/193)        
2024-08-22T20:25:42.6118302Z remote: Compressing objects:  61% (118/193)        
2024-08-22T20:25:42.6118833Z remote: Compressing objects:  62% (120/193)        
2024-08-22T20:25:42.6119459Z remote: Compressing objects:  63% (122/193)        
2024-08-22T20:25:42.6129668Z remote: Compressing objects:  64% (124/193)        
2024-08-22T20:25:42.6130271Z remote: Compressing objects:  65% (126/193)        
2024-08-22T20:25:42.6130914Z remote: Compressing objects:  66% (128/193)        
2024-08-22T20:25:42.6131401Z remote: Compressing objects:  67% (130/193)        
2024-08-22T20:25:42.6131944Z remote: Compressing objects:  68% (132/193)        
2024-08-22T20:25:42.6132534Z remote: Compressing objects:  69% (134/193)        
2024-08-22T20:25:42.6135303Z remote: Compressing objects:  70% (136/193)        
2024-08-22T20:25:42.6135871Z remote: Compressing objects:  71% (138/193)        
2024-08-22T20:25:42.6136534Z remote: Compressing objects:  72% (139/193)        
2024-08-22T20:25:42.6137050Z remote: Compressing objects:  73% (141/193)        
2024-08-22T20:25:42.6137547Z remote: Compressing objects:  74% (143/193)        
2024-08-22T20:25:42.6143834Z remote: Compressing objects:  75% (145/193)        
2024-08-22T20:25:42.6144442Z remote: Compressing objects:  76% (147/193)        
2024-08-22T20:25:42.6144928Z remote: Compressing objects:  77% (149/193)        
2024-08-22T20:25:42.6145552Z remote: Compressing objects:  78% (151/193)        
2024-08-22T20:25:42.6150758Z remote: Compressing objects:  79% (153/193)        
2024-08-22T20:25:42.6151603Z remote: Compressing objects:  80% (155/193)        
2024-08-22T20:25:42.6152548Z remote: Compressing objects:  81% (157/193)        
2024-08-22T20:25:42.6153093Z remote: Compressing objects:  82% (159/193)        
2024-08-22T20:25:42.6153684Z remote: Compressing objects:  83% (161/193)        
2024-08-22T20:25:42.6154168Z remote: Compressing objects:  84% (163/193)        
2024-08-22T20:25:42.6154687Z remote: Compressing objects:  85% (165/193)        
2024-08-22T20:25:42.6155248Z remote: Compressing objects:  86% (166/193)        
2024-08-22T20:25:42.6155737Z remote: Compressing objects:  87% (168/193)        
2024-08-22T20:25:42.6156255Z remote: Compressing objects:  88% (170/193)        
2024-08-22T20:25:42.6157346Z remote: Compressing objects:  89% (172/193)        
2024-08-22T20:25:42.6157912Z remote: Compressing objects:  90% (174/193)        
2024-08-22T20:25:42.6158438Z remote: Compressing objects:  91% (176/193)        
2024-08-22T20:25:42.6159046Z remote: Compressing objects:  92% (178/193)        
2024-08-22T20:25:42.6159557Z remote: Compressing objects:  93% (180/193)        
2024-08-22T20:25:42.6160068Z remote: Compressing objects:  94% (182/193)        
2024-08-22T20:25:42.6160631Z remote: Compressing objects:  95% (184/193)        
2024-08-22T20:25:42.6161152Z remote: Compressing objects:  96% (186/193)        
2024-08-22T20:25:42.6161623Z remote: Compressing objects:  97% (188/193)        
2024-08-22T20:25:42.6162196Z remote: Compressing objects:  98% (190/193)        
2024-08-22T20:25:42.6162709Z remote: Compressing objects:  99% (192/193)        
2024-08-22T20:25:42.6163168Z remote: Compressing objects: 100% (193/193)        
2024-08-22T20:25:42.6163968Z remote: Compressing objects: 100% (193/193), done.        
2024-08-22T20:25:42.6270471Z Receiving objects:   0% (1/237)
2024-08-22T20:25:42.6271022Z Receiving objects:   1% (3/237)
2024-08-22T20:25:42.6271833Z Receiving objects:   2% (5/237)
2024-08-22T20:25:42.6272413Z Receiving objects:   3% (8/237)
2024-08-22T20:25:42.6273435Z Receiving objects:   4% (10/237)
2024-08-22T20:25:42.6274421Z Receiving objects:   5% (12/237)
2024-08-22T20:25:42.6275162Z Receiving objects:   6% (15/237)
2024-08-22T20:25:42.6275587Z Receiving objects:   7% (17/237)
2024-08-22T20:25:42.6276203Z Receiving objects:   8% (19/237)
2024-08-22T20:25:42.6279418Z Receiving objects:   9% (22/237)
2024-08-22T20:25:42.6280365Z Receiving objects:  10% (24/237)
2024-08-22T20:25:42.6281392Z Receiving objects:  11% (27/237)
2024-08-22T20:25:42.6282072Z Receiving objects:  12% (29/237)
2024-08-22T20:25:42.6282764Z Receiving objects:  13% (31/237)
2024-08-22T20:25:42.6283668Z Receiving objects:  14% (34/237)
2024-08-22T20:25:42.6284326Z Receiving objects:  15% (36/237)
2024-08-22T20:25:42.6288006Z Receiving objects:  16% (38/237)
2024-08-22T20:25:42.6288955Z Receiving objects:  17% (41/237)
2024-08-22T20:25:42.6289649Z Receiving objects:  18% (43/237)
2024-08-22T20:25:42.6290352Z Receiving objects:  19% (46/237)
2024-08-22T20:25:42.6291194Z Receiving objects:  20% (48/237)
2024-08-22T20:25:42.6291899Z Receiving objects:  21% (50/237)
2024-08-22T20:25:42.6292645Z Receiving objects:  22% (53/237)
2024-08-22T20:25:42.6293396Z Receiving objects:  23% (55/237)
2024-08-22T20:25:42.6294087Z Receiving objects:  24% (57/237)
2024-08-22T20:25:42.6294826Z Receiving objects:  25% (60/237)
2024-08-22T20:25:42.6295623Z Receiving objects:  26% (62/237)
2024-08-22T20:25:42.6296327Z Receiving objects:  27% (64/237)
2024-08-22T20:25:42.6297045Z Receiving objects:  28% (67/237)
2024-08-22T20:25:42.6297778Z Receiving objects:  29% (69/237)
2024-08-22T20:25:42.6298474Z Receiving objects:  30% (72/237)
2024-08-22T20:25:42.6299165Z Receiving objects:  31% (74/237)
2024-08-22T20:25:42.6299949Z Receiving objects:  32% (76/237)
2024-08-22T20:25:42.6300663Z Receiving objects:  33% (79/237)
2024-08-22T20:25:42.6301346Z Receiving objects:  34% (81/237)
2024-08-22T20:25:42.6302203Z Receiving objects:  35% (83/237)
2024-08-22T20:25:42.6302917Z Receiving objects:  36% (86/237)
2024-08-22T20:25:42.6303690Z Receiving objects:  37% (88/237)
2024-08-22T20:25:42.6304848Z Receiving objects:  38% (91/237)
2024-08-22T20:25:42.6305518Z Receiving objects:  39% (93/237)
2024-08-22T20:25:42.6306188Z Receiving objects:  40% (95/237)
2024-08-22T20:25:42.6306972Z Receiving objects:  41% (98/237)
2024-08-22T20:25:42.6307598Z Receiving objects:  42% (100/237)
2024-08-22T20:25:42.6308257Z Receiving objects:  43% (102/237)
2024-08-22T20:25:42.6309163Z Receiving objects:  44% (105/237)
2024-08-22T20:25:42.6309798Z Receiving objects:  45% (107/237)
2024-08-22T20:25:42.6310446Z Receiving objects:  46% (110/237)
2024-08-22T20:25:42.6311125Z Receiving objects:  47% (112/237)
2024-08-22T20:25:42.6311508Z Receiving objects:  48% (114/237)
2024-08-22T20:25:42.6311914Z Receiving objects:  49% (117/237)
2024-08-22T20:25:42.6321068Z Receiving objects:  50% (119/237)
2024-08-22T20:25:42.6340315Z Receiving objects:  51% (121/237)
2024-08-22T20:25:42.6341150Z Receiving objects:  52% (124/237)
2024-08-22T20:25:42.6519823Z Receiving objects:  53% (126/237)
2024-08-22T20:25:42.6520546Z Receiving objects:  54% (128/237)
2024-08-22T20:25:42.6530816Z Receiving objects:  55% (131/237)
2024-08-22T20:25:42.6532883Z Receiving objects:  56% (133/237)
2024-08-22T20:25:42.6533618Z Receiving objects:  57% (136/237)
2024-08-22T20:25:42.6534065Z Receiving objects:  58% (138/237)
2024-08-22T20:25:42.6534758Z Receiving objects:  59% (140/237)
2024-08-22T20:25:42.6535317Z Receiving objects:  60% (143/237)
2024-08-22T20:25:42.6535711Z Receiving objects:  61% (145/237)
2024-08-22T20:25:42.6536420Z Receiving objects:  62% (147/237)
2024-08-22T20:25:42.6536905Z Receiving objects:  63% (150/237)
2024-08-22T20:25:42.6537694Z Receiving objects:  64% (152/237)
2024-08-22T20:25:42.6538461Z Receiving objects:  65% (155/237)
2024-08-22T20:25:42.6538934Z Receiving objects:  66% (157/237)
2024-08-22T20:25:42.6539325Z Receiving objects:  67% (159/237)
2024-08-22T20:25:42.6545871Z Receiving objects:  68% (162/237)
2024-08-22T20:25:42.6546399Z Receiving objects:  69% (164/237)
2024-08-22T20:25:42.6547021Z Receiving objects:  70% (166/237)
2024-08-22T20:25:42.6547847Z Receiving objects:  71% (169/237)
2024-08-22T20:25:42.6548459Z Receiving objects:  72% (171/237)
2024-08-22T20:25:42.6549085Z Receiving objects:  73% (174/237)
2024-08-22T20:25:42.6549492Z Receiving objects:  74% (176/237)
2024-08-22T20:25:42.6554439Z Receiving objects:  75% (178/237)
2024-08-22T20:25:42.6555268Z Receiving objects:  76% (181/237)
2024-08-22T20:25:42.6555807Z Receiving objects:  77% (183/237)
2024-08-22T20:25:42.6556350Z Receiving objects:  78% (185/237)
2024-08-22T20:25:42.6557457Z Receiving objects:  79% (188/237)
2024-08-22T20:25:42.6569922Z Receiving objects:  80% (190/237)
2024-08-22T20:25:42.6571130Z Receiving objects:  81% (192/237)
2024-08-22T20:25:42.6572022Z Receiving objects:  82% (195/237)
2024-08-22T20:25:42.6587526Z Receiving objects:  83% (197/237)
2024-08-22T20:25:42.6588670Z Receiving objects:  84% (200/237)
2024-08-22T20:25:42.6590397Z Receiving objects:  85% (202/237)
2024-08-22T20:25:42.6591016Z Receiving objects:  86% (204/237)
2024-08-22T20:25:42.6591598Z Receiving objects:  87% (207/237)
2024-08-22T20:25:42.6592093Z Receiving objects:  88% (209/237)
2024-08-22T20:25:42.6601768Z Receiving objects:  89% (211/237)
2024-08-22T20:25:42.6602262Z Receiving objects:  90% (214/237)
2024-08-22T20:25:42.6603113Z Receiving objects:  91% (216/237)
2024-08-22T20:25:42.6603569Z Receiving objects:  92% (219/237)
2024-08-22T20:25:42.6608076Z Receiving objects:  93% (221/237)
2024-08-22T20:25:42.6609346Z remote: Total 237 (delta 16), reused 151 (delta 7), pack-reused 0 (from 0)        
2024-08-22T20:25:42.6610206Z Receiving objects:  94% (223/237)
2024-08-22T20:25:42.6610697Z Receiving objects:  95% (226/237)
2024-08-22T20:25:42.6611842Z Receiving objects:  96% (228/237)
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2024-08-22T20:25:42.6613374Z Receiving objects:  98% (233/237)
2024-08-22T20:25:42.6614310Z Receiving objects:  99% (235/237)
2024-08-22T20:25:42.6614754Z Receiving objects: 100% (237/237)
2024-08-22T20:25:42.6615678Z Receiving objects: 100% (237/237), 488.09 KiB | 13.95 MiB/s, done.
2024-08-22T20:25:42.6620738Z Resolving deltas:   0% (0/16)
2024-08-22T20:25:42.6621502Z Resolving deltas:   6% (1/16)
2024-08-22T20:25:42.6622175Z Resolving deltas:  12% (2/16)
2024-08-22T20:25:42.6624585Z Resolving deltas:  18% (3/16)
2024-08-22T20:25:42.6625273Z Resolving deltas:  25% (4/16)
2024-08-22T20:25:42.6625923Z Resolving deltas:  31% (5/16)
2024-08-22T20:25:42.6626697Z Resolving deltas:  37% (6/16)
2024-08-22T20:25:42.6627295Z Resolving deltas:  43% (7/16)
2024-08-22T20:25:42.6627917Z Resolving deltas:  50% (8/16)
2024-08-22T20:25:42.6628684Z Resolving deltas:  56% (9/16)
2024-08-22T20:25:42.6629262Z Resolving deltas:  62% (10/16)
2024-08-22T20:25:42.6629895Z Resolving deltas:  75% (12/16)
2024-08-22T20:25:42.6630635Z Resolving deltas:  81% (13/16)
2024-08-22T20:25:42.6631254Z Resolving deltas:  87% (14/16)
2024-08-22T20:25:42.6631617Z Resolving deltas:  93% (15/16)
2024-08-22T20:25:42.6632103Z Resolving deltas: 100% (16/16)
2024-08-22T20:25:42.6632724Z Resolving deltas: 100% (16/16), done.
2024-08-22T20:25:42.6849959Z From https://github.com/pytorch/torchchat
2024-08-22T20:25:42.6851267Z  * [new ref]         0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9 -> pull/1044/merge
2024-08-22T20:25:42.6922444Z ##[endgroup]
2024-08-22T20:25:42.6923682Z ##[group]Determining the checkout info
2024-08-22T20:25:42.6924842Z ##[endgroup]
2024-08-22T20:25:42.6925527Z ##[group]Checking out the ref
2024-08-22T20:25:42.6927549Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/1044/merge
2024-08-22T20:25:42.7079256Z Note: switching to 'refs/remotes/pull/1044/merge'.
2024-08-22T20:25:42.7080553Z 
2024-08-22T20:25:42.7081105Z You are in 'detached HEAD' state. You can look around, make experimental
2024-08-22T20:25:42.7082341Z changes and commit them, and you can discard any commits you make in this
2024-08-22T20:25:42.7083329Z state without impacting any branches by switching back to a branch.
2024-08-22T20:25:42.7083850Z 
2024-08-22T20:25:42.7084228Z If you want to create a new branch to retain commits you create, you may
2024-08-22T20:25:42.7085209Z do so (now or later) by using -c with the switch command. Example:
2024-08-22T20:25:42.7085675Z 
2024-08-22T20:25:42.7085920Z   git switch -c <new-branch-name>
2024-08-22T20:25:42.7086225Z 
2024-08-22T20:25:42.7086478Z Or undo this operation with:
2024-08-22T20:25:42.7086929Z 
2024-08-22T20:25:42.7087073Z   git switch -
2024-08-22T20:25:42.7087279Z 
2024-08-22T20:25:42.7087680Z Turn off this advice by setting config variable advice.detachedHead to false
2024-08-22T20:25:42.7088233Z 
2024-08-22T20:25:42.7088805Z HEAD is now at 0e4d4b1 Merge c8dc18a48d66f51855d89294f3ca800692cd5dad into d5bb3c6659c8978a95c5141eb31e6e58f94af20a
2024-08-22T20:25:42.7090899Z ##[endgroup]
2024-08-22T20:25:42.7130515Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:25:42.7154824Z '0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9'
2024-08-22T20:25:42.7482152Z ##[group]Run actions/setup-python@v4
2024-08-22T20:25:42.7482712Z with:
2024-08-22T20:25:42.7483095Z   python-version: 3.10.11
2024-08-22T20:25:42.7483479Z   check-latest: false
2024-08-22T20:25:42.7484027Z   token: ***
2024-08-22T20:25:42.7484444Z   update-environment: true
2024-08-22T20:25:42.7484794Z   allow-prereleases: false
2024-08-22T20:25:42.7485161Z env:
2024-08-22T20:25:42.7485611Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:42.7486081Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:42.7486483Z ##[endgroup]
2024-08-22T20:25:42.8742281Z ##[group]Installed versions
2024-08-22T20:25:42.9081516Z Version 3.10.11 was not found in the local cache
2024-08-22T20:25:43.2242681Z Version 3.10.11 is available for downloading
2024-08-22T20:25:43.2244825Z Download from "https://github.com/actions/python-versions/releases/download/3.10.11-4626646535/python-3.10.11-linux-22.04-x64.tar.gz"
2024-08-22T20:25:43.7536545Z Extract downloaded archive
2024-08-22T20:25:43.7640108Z [command]/usr/bin/tar xz --warning=no-unknown-keyword -C /home/runner/work/_temp/0e660156-37d3-46c1-bac6-79ebfa89aeaa -f /home/runner/work/_temp/3621365c-6cc7-4a47-adae-3b1014254861
2024-08-22T20:25:45.1341159Z Execute installation script
2024-08-22T20:25:45.1438766Z Check if Python hostedtoolcache folder exist...
2024-08-22T20:25:45.1439466Z Create Python 3.10.11 folder
2024-08-22T20:25:45.1452075Z Copy Python binaries to hostedtoolcache folder
2024-08-22T20:25:45.7185339Z Create additional symlinks (Required for the UsePythonVersion Azure Pipelines task and the setup-python GitHub Action)
2024-08-22T20:25:45.7232708Z Upgrading pip...
2024-08-22T20:25:47.9762189Z Looking in links: /tmp/tmpr9rlbscl
2024-08-22T20:25:47.9765838Z Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (65.5.0)
2024-08-22T20:25:47.9769170Z Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (23.0.1)
2024-08-22T20:25:49.2381096Z Collecting pip
2024-08-22T20:25:49.2921912Z Downloading pip-24.2-py3-none-any.whl (1.8 MB)
2024-08-22T20:25:49.3830444Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 20.5 MB/s eta 0:00:00
2024-08-22T20:25:49.3830968Z 
2024-08-22T20:25:49.4275549Z Installing collected packages: pip
2024-08-22T20:25:50.2662862Z Successfully installed pip-24.2
2024-08-22T20:25:50.3460863Z Create complete file
2024-08-22T20:25:50.3496847Z Successfully set up CPython (3.10.11)
2024-08-22T20:25:50.3497876Z ##[endgroup]
2024-08-22T20:25:50.3686705Z ##[group]Run echo "$(uname -a)"
2024-08-22T20:25:50.3687637Z echo "$(uname -a)"
2024-08-22T20:25:50.4821113Z shell: /usr/bin/bash -e {0}
2024-08-22T20:25:50.4821559Z env:
2024-08-22T20:25:50.4822212Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:50.4822827Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:50.4823300Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.4824038Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:25:50.4824722Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.4825260Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.4825911Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.4826486Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:25:50.4827043Z ##[endgroup]
2024-08-22T20:25:50.5020231Z Linux runner 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-08-22T20:25:50.5060920Z ##[group]Run ./install_requirements.sh
2024-08-22T20:25:50.5061535Z ./install_requirements.sh
2024-08-22T20:25:50.5061934Z pip3 list
2024-08-22T20:25:50.5062635Z python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:25:50.5130984Z shell: /usr/bin/bash -e {0}
2024-08-22T20:25:50.5131424Z env:
2024-08-22T20:25:50.5132045Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:50.5132540Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:50.5133040Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.5133776Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:25:50.5134364Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.5134932Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.5135584Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.5136344Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:25:50.5136900Z ##[endgroup]
2024-08-22T20:25:50.5378640Z + pip3 install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:25:50.9610697Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cu121
2024-08-22T20:25:51.2419744Z Collecting huggingface_hub (from -r requirements.txt (line 4))
2024-08-22T20:25:51.2724289Z   Downloading huggingface_hub-0.24.6-py3-none-any.whl.metadata (13 kB)
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2024-08-22T20:25:51.4800835Z Collecting snakeviz (from -r requirements.txt (line 13))
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2024-08-22T20:25:51.5929424Z Collecting sentencepiece (from -r requirements.txt (line 14))
2024-08-22T20:25:51.6054252Z   Downloading https://download.pytorch.org/whl/nightly/sentencepiece-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
2024-08-22T20:25:51.6490733Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 46.6 MB/s eta 0:00:00
2024-08-22T20:25:51.8971185Z Collecting numpy<2.0 (from -r requirements.txt (line 15))
2024-08-22T20:25:51.9094286Z   Downloading https://download.pytorch.org/whl/nightly/numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
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2024-08-22T20:25:52.0583639Z Collecting lm-eval==0.4.2 (from -r requirements.txt (line 17))
2024-08-22T20:25:52.0666531Z   Downloading lm_eval-0.4.2-py3-none-any.whl.metadata (30 kB)
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2024-08-22T20:25:52.7205776Z Collecting streamlit (from -r requirements.txt (line 28))
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2024-08-22T20:25:52.8372950Z Collecting accelerate>=0.21.0 (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:52.8948293Z Collecting evaluate (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:53.3710149Z Collecting pytablewriter (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:53.4326358Z Collecting rouge-score>=0.0.4 (from lm-eval==0.4.2->-r requirements.txt (line 17))
2024-08-22T20:25:53.4405882Z   Downloading rouge_score-0.1.2.tar.gz (17 kB)
2024-08-22T20:25:53.4523648Z   Installing build dependencies: started
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2024-08-22T20:25:55.5012747Z Collecting sacrebleu>=1.5.0 (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:55.6962027Z Collecting sqlitedict (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:57.8063571Z Collecting torch>=1.8 (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:25:58.4875977Z   Downloading word2number-1.1.zip (9.7 kB)
2024-08-22T20:25:58.4938377Z   Installing build dependencies: started
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2024-08-22T20:26:00.1841706Z   Preparing metadata (pyproject.toml): started
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2024-08-22T20:26:00.4059434Z Collecting more-itertools (from lm-eval==0.4.2->-r requirements.txt (line 17))
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2024-08-22T20:26:00.4744511Z Collecting filelock (from huggingface_hub->-r requirements.txt (line 4))
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2024-08-22T20:26:00.5598055Z Collecting fsspec>=2023.5.0 (from huggingface_hub->-r requirements.txt (line 4))
2024-08-22T20:26:00.5689209Z   Downloading https://download.pytorch.org/whl/nightly/fsspec-2024.6.1-py3-none-any.whl (177 kB)
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2024-08-22T20:26:01.6379844Z Collecting tornado>=2.0 (from snakeviz->-r requirements.txt (line 13))
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2024-08-22T20:26:01.8416131Z Collecting pycryptodomex~=3.8 (from blobfile->-r requirements.txt (line 18))
2024-08-22T20:26:01.8513735Z   Downloading https://download.pytorch.org/whl/nightly/pycryptodomex-3.20.0-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)
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2024-08-22T20:26:28.1149765Z Downloading chardet-5.2.0-py3-none-any.whl (199 kB)
2024-08-22T20:26:28.1253408Z Downloading jsonschema_specifications-2023.12.1-py3-none-any.whl (18 kB)
2024-08-22T20:26:28.1344739Z Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
2024-08-22T20:26:28.1441320Z Downloading referencing-0.35.1-py3-none-any.whl (26 kB)
2024-08-22T20:26:28.1548470Z Downloading rpds_py-0.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (354 kB)
2024-08-22T20:26:28.1663518Z Downloading smmap-5.0.1-py3-none-any.whl (24 kB)
2024-08-22T20:26:28.1763110Z Downloading nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)
2024-08-22T20:26:28.2680711Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 220.0 MB/s eta 0:00:00
2024-08-22T20:26:29.3345441Z Building wheels for collected packages: rouge-score, sqlitedict, word2number
2024-08-22T20:26:29.3355221Z   Building wheel for rouge-score (pyproject.toml): started
2024-08-22T20:26:29.5389792Z   Building wheel for rouge-score (pyproject.toml): finished with status 'done'
2024-08-22T20:26:29.5397073Z   Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=711e6046e238f16a0a4ed55e74f6ac0e7e84b83d9c1729b193604261532cbc3e
2024-08-22T20:26:29.5399539Z   Stored in directory: /home/runner/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
2024-08-22T20:26:29.5422769Z   Building wheel for sqlitedict (pyproject.toml): started
2024-08-22T20:26:29.7590163Z   Building wheel for sqlitedict (pyproject.toml): finished with status 'done'
2024-08-22T20:26:29.7596308Z   Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16863 sha256=5a8250d7e3addefb158b87914a374d8d104a758ea08ec8a55a3a75ff7caacfd9
2024-08-22T20:26:29.7599325Z   Stored in directory: /home/runner/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
2024-08-22T20:26:29.7623346Z   Building wheel for word2number (pyproject.toml): started
2024-08-22T20:26:29.9572504Z   Building wheel for word2number (pyproject.toml): finished with status 'done'
2024-08-22T20:26:29.9578781Z   Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5567 sha256=60b729ffaf50d11155c64706fc29ad74894838bc2514beb5d4b143a7a6584d50
2024-08-22T20:26:29.9580461Z   Stored in directory: /home/runner/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b
2024-08-22T20:26:29.9595848Z Successfully built rouge-score sqlitedict word2number
2024-08-22T20:26:30.7226806Z Installing collected packages: zstd, word2number, sqlitedict, sentencepiece, pytz, ninja, mpmath, zstandard, xxhash, wheel, watchdog, urllib3, tzdata, typing-extensions, tqdm, tornado, tomli, toml, threadpoolctl, tenacity, tcolorpy, tabulate, sympy, smmap, six, safetensors, rpds-py, regex, pyyaml, pygments, pycryptodomex, pybind11, psutil, protobuf, portalocker, pillow, pathvalidate, packaging, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, narwhals, multidict, more-itertools, mdurl, MarkupSafe, lxml, joblib, itsdangerous, idna, fsspec, frozenlist, filelock, dill, colorama, cmake, click, charset-normalizer, chardet, certifi, cachetools, blinker, attrs, async-timeout, aiohappyeyeballs, absl-py, yarl, Werkzeug, triton, tqdm-multiprocess, snakeviz, scipy, sacrebleu, requests, referencing, python-dateutil, pyarrow, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numexpr, nltk, multiprocess, mbstrdecoder, markdown-it-py, jsonlines, Jinja2, gitdb, gguf, blobfile, aiosignal, typepy, tiktoken, scikit-learn, rouge-score, rich, pydeck, pandas, nvidia-cusolver-cu12, jsonschema-specifications, huggingface_hub, gitpython, flask, aiohttp, torch, tokenizers, jsonschema, transformers, datasets, DataProperty, altair, accelerate, tabledata, streamlit, peft, evaluate, pytablewriter, lm-eval
2024-08-22T20:27:42.3396977Z Successfully installed DataProperty-1.0.1 Jinja2-3.1.4 MarkupSafe-2.1.5 Werkzeug-3.0.4 absl-py-2.1.0 accelerate-0.33.0 aiohappyeyeballs-2.4.0 aiohttp-3.10.5 aiosignal-1.3.1 altair-5.4.0 async-timeout-4.0.3 attrs-24.2.0 blinker-1.8.2 blobfile-2.1.1 cachetools-5.5.0 certifi-2024.7.4 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cmake-3.30.2 colorama-0.4.6 datasets-2.21.0 dill-0.3.8 evaluate-0.4.2 filelock-3.15.4 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.6.1 gguf-0.9.1 gitdb-4.0.11 gitpython-3.1.43 huggingface_hub-0.24.6 idna-3.7 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 jsonschema-4.23.0 jsonschema-specifications-2023.12.1 lm-eval-0.4.2 lxml-4.9.4 markdown-it-py-3.0.0 mbstrdecoder-1.1.3 mdurl-0.1.2 more-itertools-10.4.0 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 narwhals-1.5.2 networkx-3.3 ninja-1.11.1.1 nltk-3.9.1 numexpr-2.10.1 numpy-1.26.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 packaging-24.1 pandas-2.2.2 pathvalidate-3.2.0 peft-0.12.0 pillow-10.4.0 portalocker-2.10.1 protobuf-5.27.3 psutil-6.0.0 pyarrow-17.0.0 pybind11-2.13.5 pycryptodomex-3.20.0 pydeck-0.9.1 pygments-2.18.0 pytablewriter-1.2.0 python-dateutil-2.9.0.post0 pytz-2024.1 pyyaml-6.0.2 referencing-0.35.1 regex-2024.7.24 requests-2.32.3 rich-13.7.1 rouge-score-0.1.2 rpds-py-0.20.0 sacrebleu-2.4.3 safetensors-0.4.4 scikit-learn-1.5.1 scipy-1.14.1 sentencepiece-0.2.0 six-1.16.0 smmap-5.0.1 snakeviz-2.2.0 sqlitedict-2.1.0 streamlit-1.37.1 sympy-1.13.2 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 tenacity-8.5.0 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 toml-0.10.2 tomli-2.0.1 torch-2.4.0 tornado-6.4.1 tqdm-4.66.5 tqdm-multiprocess-0.0.11 transformers-4.44.2 triton-3.0.0 typepy-1.3.2 typing-extensions-4.12.2 tzdata-2024.1 urllib3-2.2.2 watchdog-4.0.2 wheel-0.44.0 word2number-1.1 xxhash-3.5.0 yarl-1.9.4 zstandard-0.23.0 zstd-1.5.5.1
2024-08-22T20:27:42.6171878Z 
2024-08-22T20:27:42.6173507Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:27:42.6174692Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:27:44.3452591Z + pip3 uninstall -y triton
2024-08-22T20:27:44.7504577Z Found existing installation: triton 3.0.0
2024-08-22T20:27:44.7639299Z Uninstalling triton-3.0.0:
2024-08-22T20:27:44.7676098Z   Successfully uninstalled triton-3.0.0
2024-08-22T20:27:44.9054026Z + pip3 install --extra-index-url https://download.pytorch.org/whl/nightly/cpu torch==2.5.0.dev20240814
2024-08-22T20:27:45.3274993Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2024-08-22T20:27:45.5764670Z Collecting torch==2.5.0.dev20240814
2024-08-22T20:27:45.5857561Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torch-2.5.0.dev20240814%2Bcpu-cp310-cp310-linux_x86_64.whl (173.5 MB)
2024-08-22T20:27:46.3886687Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 173.5/173.5 MB 218.3 MB/s eta 0:00:00
2024-08-22T20:27:46.5967336Z Requirement already satisfied: filelock in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.15.4)
2024-08-22T20:27:46.5972577Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (4.12.2)
2024-08-22T20:27:46.5977345Z Requirement already satisfied: networkx in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.3)
2024-08-22T20:27:46.5982298Z Requirement already satisfied: jinja2 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.1.4)
2024-08-22T20:27:46.5987117Z Requirement already satisfied: fsspec in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (2024.6.1)
2024-08-22T20:27:46.6593627Z Collecting sympy==1.13.1 (from torch==2.5.0.dev20240814)
2024-08-22T20:27:46.6680973Z   Downloading https://download.pytorch.org/whl/nightly/sympy-1.13.1-py3-none-any.whl (6.2 MB)
2024-08-22T20:27:46.7019102Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.2/6.2 MB 193.4 MB/s eta 0:00:00
2024-08-22T20:27:46.7186182Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from sympy==1.13.1->torch==2.5.0.dev20240814) (1.3.0)
2024-08-22T20:27:46.7609482Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from jinja2->torch==2.5.0.dev20240814) (2.1.5)
2024-08-22T20:27:47.3545261Z Installing collected packages: sympy, torch
2024-08-22T20:27:47.3546410Z   Attempting uninstall: sympy
2024-08-22T20:27:47.3558349Z     Found existing installation: sympy 1.13.2
2024-08-22T20:27:47.4915171Z     Uninstalling sympy-1.13.2:
2024-08-22T20:27:47.7172151Z       Successfully uninstalled sympy-1.13.2
2024-08-22T20:27:52.7742893Z   Attempting uninstall: torch
2024-08-22T20:27:52.7754729Z     Found existing installation: torch 2.4.0
2024-08-22T20:27:53.1382408Z     Uninstalling torch-2.4.0:
2024-08-22T20:27:53.2028447Z       Successfully uninstalled torch-2.4.0
2024-08-22T20:28:02.8644459Z Successfully installed sympy-1.13.1 torch-2.5.0.dev20240814+cpu
2024-08-22T20:28:02.8932616Z 
2024-08-22T20:28:02.8934193Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:28:02.8935076Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:28:03.0170330Z + pip3 install git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:03.4489106Z Collecting git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:03.4495589Z   Cloning https://github.com/pytorch/ao.git (to revision e11201a62669f582d81cdb33e031a07fb8dfc4f3) to /tmp/pip-req-build-va4hehgf
2024-08-22T20:28:03.4523767Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /tmp/pip-req-build-va4hehgf
2024-08-22T20:28:04.0505905Z   Running command git rev-parse -q --verify 'sha^e11201a62669f582d81cdb33e031a07fb8dfc4f3'
2024-08-22T20:28:04.0535916Z   Running command git fetch -q https://github.com/pytorch/ao.git e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:04.1622050Z   Running command git checkout -q e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:04.3677397Z   Resolved https://github.com/pytorch/ao.git to commit e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:04.3715036Z   Preparing metadata (setup.py): started
2024-08-22T20:28:06.8545212Z   Preparing metadata (setup.py): finished with status 'done'
2024-08-22T20:28:06.8583363Z Building wheels for collected packages: torchao
2024-08-22T20:28:06.8645193Z   Building wheel for torchao (setup.py): started
2024-08-22T20:28:35.3165825Z   Building wheel for torchao (setup.py): finished with status 'done'
2024-08-22T20:28:35.3225699Z   Created wheel for torchao: filename=torchao-0.4.0+gite11201a-cp310-cp310-linux_x86_64.whl size=3666694 sha256=0fa8ee3d93a186351e974a9d3b3f1ff976a3417340a2147a10238eb23d3c024a
2024-08-22T20:28:35.3228432Z   Stored in directory: /home/runner/.cache/pip/wheels/14/74/97/48f38f0ed345915878934030a4f26ab5c877ef47ce1b5c4c09
2024-08-22T20:28:35.3257990Z Successfully built torchao
2024-08-22T20:28:35.8686343Z Installing collected packages: torchao
2024-08-22T20:28:36.1360787Z Successfully installed torchao-0.4.0+gite11201a
2024-08-22T20:28:36.1662093Z 
2024-08-22T20:28:36.1663667Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:28:36.1664900Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:28:36.5205757Z Package                   Version
2024-08-22T20:28:36.5206682Z ------------------------- ---------------------
2024-08-22T20:28:36.5207880Z absl-py                   2.1.0
2024-08-22T20:28:36.5209795Z accelerate                0.33.0
2024-08-22T20:28:36.5211191Z aiohappyeyeballs          2.4.0
2024-08-22T20:28:36.5212530Z aiohttp                   3.10.5
2024-08-22T20:28:36.5214033Z aiosignal                 1.3.1
2024-08-22T20:28:36.5215554Z altair                    5.4.0
2024-08-22T20:28:36.5217128Z async-timeout             4.0.3
2024-08-22T20:28:36.5218540Z attrs                     24.2.0
2024-08-22T20:28:36.5220107Z blinker                   1.8.2
2024-08-22T20:28:36.5221648Z blobfile                  2.1.1
2024-08-22T20:28:36.5223085Z cachetools                5.5.0
2024-08-22T20:28:36.5224584Z certifi                   2024.7.4
2024-08-22T20:28:36.5226237Z chardet                   5.2.0
2024-08-22T20:28:36.5227747Z charset-normalizer        3.3.2
2024-08-22T20:28:36.5229337Z click                     8.1.7
2024-08-22T20:28:36.5230928Z cmake                     3.30.2
2024-08-22T20:28:36.5232663Z colorama                  0.4.6
2024-08-22T20:28:36.5234139Z DataProperty              1.0.1
2024-08-22T20:28:36.5235621Z datasets                  2.21.0
2024-08-22T20:28:36.5237523Z dill                      0.3.8
2024-08-22T20:28:36.5239011Z evaluate                  0.4.2
2024-08-22T20:28:36.5240513Z filelock                  3.15.4
2024-08-22T20:28:36.5242009Z Flask                     3.0.3
2024-08-22T20:28:36.5243554Z frozenlist                1.4.1
2024-08-22T20:28:36.5245044Z fsspec                    2024.6.1
2024-08-22T20:28:36.5246498Z gguf                      0.9.1
2024-08-22T20:28:36.5248102Z gitdb                     4.0.11
2024-08-22T20:28:36.5249503Z GitPython                 3.1.43
2024-08-22T20:28:36.5251070Z huggingface-hub           0.24.6
2024-08-22T20:28:36.5252595Z idna                      3.7
2024-08-22T20:28:36.5253973Z itsdangerous              2.2.0
2024-08-22T20:28:36.5255427Z Jinja2                    3.1.4
2024-08-22T20:28:36.5257022Z joblib                    1.4.2
2024-08-22T20:28:36.5258437Z jsonlines                 4.0.0
2024-08-22T20:28:36.5260180Z jsonschema                4.23.0
2024-08-22T20:28:36.5261633Z jsonschema-specifications 2023.12.1
2024-08-22T20:28:36.5263038Z lm_eval                   0.4.2
2024-08-22T20:28:36.5264480Z lxml                      4.9.4
2024-08-22T20:28:36.5266115Z markdown-it-py            3.0.0
2024-08-22T20:28:36.5267514Z MarkupSafe                2.1.5
2024-08-22T20:28:36.5268920Z mbstrdecoder              1.1.3
2024-08-22T20:28:36.5270476Z mdurl                     0.1.2
2024-08-22T20:28:36.5271986Z more-itertools            10.4.0
2024-08-22T20:28:36.5273418Z mpmath                    1.3.0
2024-08-22T20:28:36.5274964Z multidict                 6.0.5
2024-08-22T20:28:36.5276366Z multiprocess              0.70.16
2024-08-22T20:28:36.5278135Z narwhals                  1.5.2
2024-08-22T20:28:36.5279807Z networkx                  3.3
2024-08-22T20:28:36.5281215Z ninja                     1.11.1.1
2024-08-22T20:28:36.5282713Z nltk                      3.9.1
2024-08-22T20:28:36.5284295Z numexpr                   2.10.1
2024-08-22T20:28:36.5285791Z numpy                     1.26.4
2024-08-22T20:28:36.5287355Z nvidia-cublas-cu12        12.1.3.1
2024-08-22T20:28:36.5289075Z nvidia-cuda-cupti-cu12    12.1.105
2024-08-22T20:28:36.5290281Z nvidia-cuda-nvrtc-cu12    12.1.105
2024-08-22T20:28:36.5291831Z nvidia-cuda-runtime-cu12  12.1.105
2024-08-22T20:28:36.5293368Z nvidia-cudnn-cu12         9.1.0.70
2024-08-22T20:28:36.5294765Z nvidia-cufft-cu12         11.0.2.54
2024-08-22T20:28:36.5296250Z nvidia-curand-cu12        10.3.2.106
2024-08-22T20:28:36.5297624Z nvidia-cusolver-cu12      11.4.5.107
2024-08-22T20:28:36.5299213Z nvidia-cusparse-cu12      12.1.0.106
2024-08-22T20:28:36.5300618Z nvidia-nccl-cu12          2.20.5
2024-08-22T20:28:36.5302110Z nvidia-nvjitlink-cu12     12.6.20
2024-08-22T20:28:36.5303598Z nvidia-nvtx-cu12          12.1.105
2024-08-22T20:28:36.5304931Z packaging                 24.1
2024-08-22T20:28:36.5306384Z pandas                    2.2.2
2024-08-22T20:28:36.5307846Z pathvalidate              3.2.0
2024-08-22T20:28:36.5309442Z peft                      0.12.0
2024-08-22T20:28:36.5310783Z pillow                    10.4.0
2024-08-22T20:28:36.5312191Z pip                       23.0.1
2024-08-22T20:28:36.5313754Z portalocker               2.10.1
2024-08-22T20:28:36.5315115Z protobuf                  5.27.3
2024-08-22T20:28:36.5316700Z psutil                    6.0.0
2024-08-22T20:28:36.5318358Z pyarrow                   17.0.0
2024-08-22T20:28:36.5319724Z pybind11                  2.13.5
2024-08-22T20:28:36.5321119Z pycryptodomex             3.20.0
2024-08-22T20:28:36.5322740Z pydeck                    0.9.1
2024-08-22T20:28:36.5324080Z Pygments                  2.18.0
2024-08-22T20:28:36.5325462Z pytablewriter             1.2.0
2024-08-22T20:28:36.5327103Z python-dateutil           2.9.0.post0
2024-08-22T20:28:36.5328446Z pytz                      2024.1
2024-08-22T20:28:36.5329803Z PyYAML                    6.0.2
2024-08-22T20:28:36.5331341Z referencing               0.35.1
2024-08-22T20:28:36.5332729Z regex                     2024.7.24
2024-08-22T20:28:36.5334172Z requests                  2.32.3
2024-08-22T20:28:36.5335626Z rich                      13.7.1
2024-08-22T20:28:36.5337008Z rouge_score               0.1.2
2024-08-22T20:28:36.5338533Z rpds-py                   0.20.0
2024-08-22T20:28:36.5339977Z sacrebleu                 2.4.3
2024-08-22T20:28:36.5341327Z safetensors               0.4.4
2024-08-22T20:28:36.5342847Z scikit-learn              1.5.1
2024-08-22T20:28:36.5344328Z scipy                     1.14.1
2024-08-22T20:28:36.5345675Z sentencepiece             0.2.0
2024-08-22T20:28:36.5347095Z setuptools                65.5.0
2024-08-22T20:28:36.5348648Z six                       1.16.0
2024-08-22T20:28:36.5349978Z smmap                     5.0.1
2024-08-22T20:28:36.5351394Z snakeviz                  2.2.0
2024-08-22T20:28:36.5352961Z sqlitedict                2.1.0
2024-08-22T20:28:36.5354306Z streamlit                 1.37.1
2024-08-22T20:28:36.5355736Z sympy                     1.13.1
2024-08-22T20:28:36.5357653Z tabledata                 1.3.3
2024-08-22T20:28:36.5358982Z tabulate                  0.9.0
2024-08-22T20:28:36.5360360Z tcolorpy                  0.1.6
2024-08-22T20:28:36.5361877Z tenacity                  8.5.0
2024-08-22T20:28:36.5363300Z threadpoolctl             3.5.0
2024-08-22T20:28:36.5364674Z tiktoken                  0.7.0
2024-08-22T20:28:36.5366120Z tokenizers                0.19.1
2024-08-22T20:28:36.5367587Z toml                      0.10.2
2024-08-22T20:28:36.5369096Z tomli                     2.0.1
2024-08-22T20:28:36.5370511Z torch                     2.5.0.dev20240814+cpu
2024-08-22T20:28:36.5371936Z torchao                   0.4.0+gite11201a
2024-08-22T20:28:36.5373490Z tornado                   6.4.1
2024-08-22T20:28:36.5374811Z tqdm                      4.66.5
2024-08-22T20:28:36.5376339Z tqdm-multiprocess         0.0.11
2024-08-22T20:28:36.5377825Z transformers              4.44.2
2024-08-22T20:28:36.5379152Z typepy                    1.3.2
2024-08-22T20:28:36.5380649Z typing_extensions         4.12.2
2024-08-22T20:28:36.5382112Z tzdata                    2024.1
2024-08-22T20:28:36.5383539Z urllib3                   2.2.2
2024-08-22T20:28:36.5384912Z watchdog                  4.0.2
2024-08-22T20:28:36.5386471Z Werkzeug                  3.0.4
2024-08-22T20:28:36.5387995Z wheel                     0.44.0
2024-08-22T20:28:36.5389454Z word2number               1.1
2024-08-22T20:28:36.5391747Z xxhash                    3.5.0
2024-08-22T20:28:36.5392420Z yarl                      1.9.4
2024-08-22T20:28:36.5394064Z zstandard                 0.23.0
2024-08-22T20:28:36.5395457Z zstd                      1.5.5.1
2024-08-22T20:28:37.8018664Z torch: ('2.5.0.dev20240814+cpu', '3a023a67c47bcde45538c9991e332d21ac548e46')
2024-08-22T20:28:38.0484670Z ##[group]Run bash ${TORCHCHAT_ROOT}/.ci/scripts/wget_checkpoint.sh tinyllamas/stories15M "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin"
2024-08-22T20:28:38.0487440Z bash ${TORCHCHAT_ROOT}/.ci/scripts/wget_checkpoint.sh tinyllamas/stories15M "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin"
2024-08-22T20:28:38.0556405Z shell: /usr/bin/bash -e {0}
2024-08-22T20:28:38.0556981Z env:
2024-08-22T20:28:38.0557510Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:28:38.0558058Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:28:38.0558535Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.0559497Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:28:38.0560110Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.0560741Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.0561324Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.0561898Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:28:38.0562412Z ##[endgroup]
2024-08-22T20:28:38.0671963Z + MODEL_REPO=tinyllamas/stories15M
2024-08-22T20:28:38.0674186Z + RESOURCES_STRING=https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:38.0676175Z + CHECKPOINT_NAME=stories15M
2024-08-22T20:28:38.0677815Z + mkdir -p checkpoints/tinyllamas/stories15M
2024-08-22T20:28:38.0688660Z + pushd checkpoints/tinyllamas/stories15M
2024-08-22T20:28:38.0689123Z + IFS=,
2024-08-22T20:28:38.0689432Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:38.0690236Z ~/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M ~/work/torchchat/torchchat
2024-08-22T20:28:38.0691311Z + echo 'Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt'
2024-08-22T20:28:38.0692319Z + wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:38.0693339Z Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:38.0871954Z --2024-08-22 20:28:38--  https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:38.1200861Z Resolving huggingface.co (huggingface.co)... 18.154.227.7, 18.154.227.87, 18.154.227.67, ...
2024-08-22T20:28:38.1262208Z Connecting to huggingface.co (huggingface.co)|18.154.227.7|:443... connected.
2024-08-22T20:28:38.1643114Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:38.1653856Z Location: https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617315&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzMxNX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=JGv%7EwBmi4E-HTa2eMbpmpw5dhUbL3qnOPN-Qa5aLdxrj8WE2Z0FbaNbQismwul6JiOiO%7EB98Fza1aVVHp%7EYEdyaxy0fVkZY7gUcPpKAJdlkVnRG5txz6wIiWXxVGHGcSez-CWZs3MBMqptencODjauXScgx46ok6RZ9-qPlOZCgTI-ZoTKpO1tpV5U%7EbklBKoFaA%7Eo-PMC6MSqWBj9NZF7v6zrkjLjwrd1wYXKRJe1iun5Fr4oiChocWRzU1IuELBfdNVPUV8QnNd%7EaQjja2AwevALHynq6yTEbCXEoWBan9WypUDUt171jv1QdcptO4f5RNEYG5z62bFn4jyTFkBA__&Key-Pair-Id=K3ESJI6DHPFC7 [following]
2024-08-22T20:28:38.1669215Z --2024-08-22 20:28:38--  https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617315&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzMxNX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=JGv%7EwBmi4E-HTa2eMbpmpw5dhUbL3qnOPN-Qa5aLdxrj8WE2Z0FbaNbQismwul6JiOiO%7EB98Fza1aVVHp%7EYEdyaxy0fVkZY7gUcPpKAJdlkVnRG5txz6wIiWXxVGHGcSez-CWZs3MBMqptencODjauXScgx46ok6RZ9-qPlOZCgTI-ZoTKpO1tpV5U%7EbklBKoFaA%7Eo-PMC6MSqWBj9NZF7v6zrkjLjwrd1wYXKRJe1iun5Fr4oiChocWRzU1IuELBfdNVPUV8QnNd%7EaQjja2AwevALHynq6yTEbCXEoWBan9WypUDUt171jv1QdcptO4f5RNEYG5z62bFn4jyTFkBA__&Key-Pair-Id=K3ESJI6DHPFC7
2024-08-22T20:28:38.2275683Z Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.64.36, 108.138.64.121, 108.138.64.111, ...
2024-08-22T20:28:38.2330668Z Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.64.36|:443... connected.
2024-08-22T20:28:38.2613522Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:38.2614657Z Length: 60789090 (58M) [binary/octet-stream]
2024-08-22T20:28:38.2615478Z Saving to: ‘stories15M.pt’
2024-08-22T20:28:38.2615811Z 
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2024-08-22T20:28:38.3447321Z  12800K .......... .......... .......... .......... .......... 21%  293M 0s
2024-08-22T20:28:38.3449260Z  12850K .......... .......... .......... .......... .......... 21%  298M 0s
2024-08-22T20:28:38.3450708Z  12900K .......... .......... .......... .......... .......... 21%  280M 0s
2024-08-22T20:28:38.3452577Z  12950K .......... .......... .......... .......... .......... 21%  257M 0s
2024-08-22T20:28:38.3454286Z  13000K .......... .......... .......... .......... .......... 21%  292M 0s
2024-08-22T20:28:38.3491053Z  13050K .......... .......... .......... .......... .......... 22% 13.4M 0s
2024-08-22T20:28:38.3493084Z  13100K .......... .......... .......... .......... .......... 22%  227M 0s
2024-08-22T20:28:38.3496437Z  13150K .......... .......... .......... .......... .......... 22%  146M 0s
2024-08-22T20:28:38.3498135Z  13200K .......... .......... .......... .......... .......... 22%  274M 0s
2024-08-22T20:28:38.3500632Z  13250K .......... .......... .......... .......... .......... 22%  201M 0s
2024-08-22T20:28:38.3502367Z  13300K .......... .......... .......... .......... .......... 22%  271M 0s
2024-08-22T20:28:38.3504209Z  13350K .......... .......... .......... .......... .......... 22%  267M 0s
2024-08-22T20:28:38.3505838Z  13400K .......... .......... .......... .......... .......... 22%  293M 0s
2024-08-22T20:28:38.3507756Z  13450K .......... .......... .......... .......... .......... 22%  267M 0s
2024-08-22T20:28:38.3509301Z  13500K .......... .......... .......... .......... .......... 22%  301M 0s
2024-08-22T20:28:38.3511185Z  13550K .......... .......... .......... .......... .......... 22%  268M 0s
2024-08-22T20:28:38.3513009Z  13600K .......... .......... .......... .......... .......... 22%  285M 0s
2024-08-22T20:28:38.3514582Z  13650K .......... .......... .......... .......... .......... 23%  283M 0s
2024-08-22T20:28:38.3516338Z  13700K .......... .......... .......... .......... .......... 23%  273M 0s
2024-08-22T20:28:38.3518515Z  13750K .......... .......... .......... .......... .......... 23%  233M 0s
2024-08-22T20:28:38.3520112Z  13800K .......... .......... .......... .......... .......... 23%  299M 0s
2024-08-22T20:28:38.3521798Z  13850K .......... .......... .......... .......... .......... 23%  281M 0s
2024-08-22T20:28:38.3523481Z  13900K .......... .......... .......... .......... .......... 23%  302M 0s
2024-08-22T20:28:38.3525383Z  13950K .......... .......... .......... .......... .......... 23%  244M 0s
2024-08-22T20:28:38.3527203Z  14000K .......... .......... .......... .......... .......... 23%  275M 0s
2024-08-22T20:28:38.3528943Z  14050K .......... .......... .......... .......... .......... 23%  296M 0s
2024-08-22T20:28:38.3530525Z  14100K .......... .......... .......... .......... .......... 23%  300M 0s
2024-08-22T20:28:38.3532405Z  14150K .......... .......... .......... .......... .......... 23%  247M 0s
2024-08-22T20:28:38.3534171Z  14200K .......... .......... .......... .......... .......... 24%  282M 0s
2024-08-22T20:28:38.3535799Z  14250K .......... .......... .......... .......... .......... 24%  299M 0s
2024-08-22T20:28:38.3537414Z  14300K .......... .......... .......... .......... .......... 24%  301M 0s
2024-08-22T20:28:38.3539310Z  14350K .......... .......... .......... .......... .......... 24%  253M 0s
2024-08-22T20:28:38.3540950Z  14400K .......... .......... .......... .......... .......... 24%  305M 0s
2024-08-22T20:28:38.3542715Z  14450K .......... .......... .......... .......... .......... 24%  290M 0s
2024-08-22T20:28:38.3544342Z  14500K .......... .......... .......... .......... .......... 24%  294M 0s
2024-08-22T20:28:38.3546084Z  14550K .......... .......... .......... .......... .......... 24%  276M 0s
2024-08-22T20:28:38.3548119Z  14600K .......... .......... .......... .......... .......... 24%  260M 0s
2024-08-22T20:28:38.3549777Z  14650K .......... .......... .......... .......... .......... 24%  269M 0s
2024-08-22T20:28:38.3551305Z  14700K .......... .......... .......... .......... .......... 24%  293M 0s
2024-08-22T20:28:38.3554171Z  14750K .......... .......... .......... .......... .......... 24%  184M 0s
2024-08-22T20:28:38.3555899Z  14800K .......... .......... .......... .......... .......... 25%  301M 0s
2024-08-22T20:28:38.3557705Z  14850K .......... .......... .......... .......... .......... 25%  258M 0s
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2024-08-22T20:28:38.3562891Z  15000K .......... .......... .......... .......... .......... 25%  302M 0s
2024-08-22T20:28:38.3564586Z  15050K .......... .......... .......... .......... .......... 25%  274M 0s
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2024-08-22T20:28:38.3571631Z  15250K .......... .......... .......... .......... .......... 25%  302M 0s
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2024-08-22T20:28:38.3575037Z  15350K .......... .......... .......... .......... .......... 25%  269M 0s
2024-08-22T20:28:38.3576813Z  15400K .......... .......... .......... .......... .......... 26%  283M 0s
2024-08-22T20:28:38.3578506Z  15450K .......... .......... .......... .......... .......... 26%  282M 0s
2024-08-22T20:28:38.3580010Z  15500K .......... .......... .......... .......... .......... 26%  306M 0s
2024-08-22T20:28:38.3582105Z  15550K .......... .......... .......... .......... .......... 26%  254M 0s
2024-08-22T20:28:38.3583831Z  15600K .......... .......... .......... .......... .......... 26%  290M 0s
2024-08-22T20:28:38.3585334Z  15650K .......... .......... .......... .......... .......... 26%  299M 0s
2024-08-22T20:28:38.3587042Z  15700K .......... .......... .......... .......... .......... 26%  293M 0s
2024-08-22T20:28:38.3589022Z  15750K .......... .......... .......... .......... .......... 26%  252M 0s
2024-08-22T20:28:38.3590715Z  15800K .......... .......... .......... .......... .......... 26%  300M 0s
2024-08-22T20:28:38.3593186Z  15850K .......... .......... .......... .......... .......... 26%  296M 0s
2024-08-22T20:28:38.3594287Z  15900K .......... .......... .......... .......... .......... 26%  252M 0s
2024-08-22T20:28:38.3596298Z  15950K .......... .......... .......... .......... .......... 26%  245M 0s
2024-08-22T20:28:38.3599281Z  16000K .......... .......... .......... .......... .......... 27%  263M 0s
2024-08-22T20:28:38.3600169Z  16050K .......... .......... .......... .......... .......... 27%  297M 0s
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2024-08-22T20:28:38.3803022Z  21700K .......... .......... .......... .......... .......... 36%  295M 0s
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2024-08-22T20:28:38.3806600Z  21800K .......... .......... .......... .......... .......... 36%  289M 0s
2024-08-22T20:28:38.3808246Z  21850K .......... .......... .......... .......... .......... 36%  296M 0s
2024-08-22T20:28:38.3809940Z  21900K .......... .......... .......... .......... .......... 36%  304M 0s
2024-08-22T20:28:38.3812218Z  21950K .......... .......... .......... .......... .......... 37%  226M 0s
2024-08-22T20:28:38.3814500Z  22000K .......... .......... .......... .......... .......... 37%  217M 0s
2024-08-22T20:28:38.3816446Z  22050K .......... .......... .......... .......... .......... 37%  238M 0s
2024-08-22T20:28:38.3818441Z  22100K .......... .......... .......... .......... .......... 37%  242M 0s
2024-08-22T20:28:38.3820847Z  22150K .......... .......... .......... .......... .......... 37%  227M 0s
2024-08-22T20:28:38.3822907Z  22200K .......... .......... .......... .......... .......... 37%  224M 0s
2024-08-22T20:28:38.3824389Z  22250K .......... .......... .......... .......... .......... 37%  285M 0s
2024-08-22T20:28:38.3826026Z  22300K .......... .......... .......... .......... .......... 37%  301M 0s
2024-08-22T20:28:38.3828144Z  22350K .......... .......... .......... .......... .......... 37%  241M 0s
2024-08-22T20:28:38.3829763Z  22400K .......... .......... .......... .......... .......... 37%  303M 0s
2024-08-22T20:28:38.3831369Z  22450K .......... .......... .......... .......... .......... 37%  289M 0s
2024-08-22T20:28:38.3833115Z  22500K .......... .......... .......... .......... .......... 37%  295M 0s
2024-08-22T20:28:38.3835248Z  22550K .......... .......... .......... .......... .......... 38%  236M 0s
2024-08-22T20:28:38.3837193Z  22600K .......... .......... .......... .......... .......... 38%  302M 0s
2024-08-22T20:28:38.3838716Z  22650K .......... .......... .......... .......... .......... 38%  244M 0s
2024-08-22T20:28:38.3840589Z  22700K .......... .......... .......... .......... .......... 38%  280M 0s
2024-08-22T20:28:38.3842556Z  22750K .......... .......... .......... .......... .......... 38%  245M 0s
2024-08-22T20:28:38.3844099Z  22800K .......... .......... .......... .......... .......... 38%  297M 0s
2024-08-22T20:28:38.3846004Z  22850K .......... .......... .......... .......... .......... 38%  293M 0s
2024-08-22T20:28:38.3847353Z  22900K .......... .......... .......... .......... .......... 38%  304M 0s
2024-08-22T20:28:38.3849332Z  22950K .......... .......... .......... .......... .......... 38%  265M 0s
2024-08-22T20:28:38.3851329Z  23000K .......... .......... .......... .......... .......... 38%  273M 0s
2024-08-22T20:28:38.3852658Z  23050K .......... .......... .......... .......... .......... 38%  290M 0s
2024-08-22T20:28:38.3854489Z  23100K .......... .......... .......... .......... .......... 38%  304M 0s
2024-08-22T20:28:38.3856485Z  23150K .......... .......... .......... .......... .......... 39%  249M 0s
2024-08-22T20:28:38.3857884Z  23200K .......... .......... .......... .......... .......... 39%  296M 0s
2024-08-22T20:28:38.3859642Z  23250K .......... .......... .......... .......... .......... 39%  301M 0s
2024-08-22T20:28:38.3861273Z  23300K .......... .......... .......... .......... .......... 39%  295M 0s
2024-08-22T20:28:38.3863254Z  23350K .......... .......... .......... .......... .......... 39%  261M 0s
2024-08-22T20:28:38.3864620Z  23400K .......... .......... .......... .......... .......... 39%  304M 0s
2024-08-22T20:28:38.3866315Z  23450K .......... .......... .......... .......... .......... 39%  289M 0s
2024-08-22T20:28:38.3868113Z  23500K .......... .......... .......... .......... .......... 39%  304M 0s
2024-08-22T20:28:38.3869973Z  23550K .......... .......... .......... .......... .......... 39%  246M 0s
2024-08-22T20:28:38.3871630Z  23600K .......... .......... .......... .......... .......... 39%  288M 0s
2024-08-22T20:28:38.3873236Z  23650K .......... .......... .......... .......... .......... 39%  305M 0s
2024-08-22T20:28:38.3875102Z  23700K .......... .......... .......... .......... .......... 40%  304M 0s
2024-08-22T20:28:38.3876981Z  23750K .......... .......... .......... .......... .......... 40%  257M 0s
2024-08-22T20:28:38.3878896Z  23800K .......... .......... .......... .......... .......... 40%  249M 0s
2024-08-22T20:28:38.3880401Z  23850K .......... .......... .......... .......... .......... 40%  304M 0s
2024-08-22T20:28:38.3882280Z  23900K .......... .......... .......... .......... .......... 40%  278M 0s
2024-08-22T20:28:38.3884037Z  23950K .......... .......... .......... .......... .......... 40%  252M 0s
2024-08-22T20:28:38.3885664Z  24000K .......... .......... .......... .......... .......... 40%  307M 0s
2024-08-22T20:28:38.3887472Z  24050K .......... .......... .......... .......... .......... 40%  272M 0s
2024-08-22T20:28:38.3888999Z  24100K .......... .......... .......... .......... .......... 40%  305M 0s
2024-08-22T20:28:38.3891036Z  24150K .......... .......... .......... .......... .......... 40%  270M 0s
2024-08-22T20:28:38.3892494Z  24200K .......... .......... .......... .......... .......... 40%  283M 0s
2024-08-22T20:28:38.3894101Z  24250K .......... .......... .......... .......... .......... 40%  302M 0s
2024-08-22T20:28:38.3896106Z  24300K .......... .......... .......... .......... .......... 41%  292M 0s
2024-08-22T20:28:38.3897913Z  24350K .......... .......... .......... .......... .......... 41%  240M 0s
2024-08-22T20:28:38.3899389Z  24400K .......... .......... .......... .......... .......... 41%  308M 0s
2024-08-22T20:28:38.3901163Z  24450K .......... .......... .......... .......... .......... 41%  304M 0s
2024-08-22T20:28:38.3902820Z  24500K .......... .......... .......... .......... .......... 41%  285M 0s
2024-08-22T20:28:38.3904929Z  24550K .......... .......... .......... .......... .......... 41%  259M 0s
2024-08-22T20:28:38.3906252Z  24600K .......... .......... .......... .......... .......... 41%  308M 0s
2024-08-22T20:28:38.3908224Z  24650K .......... .......... .......... .......... .......... 41%  289M 0s
2024-08-22T20:28:38.3909695Z  24700K .......... .......... .......... .......... .......... 41%  270M 0s
2024-08-22T20:28:38.3911896Z  24750K .......... .......... .......... .......... .......... 41%  232M 0s
2024-08-22T20:28:38.3913498Z  24800K .......... .......... .......... .......... .......... 41%  286M 0s
2024-08-22T20:28:38.3915487Z  24850K .......... .......... .......... .......... .......... 41%  284M 0s
2024-08-22T20:28:38.3917047Z  24900K .......... .......... .......... .......... .......... 42%  301M 0s
2024-08-22T20:28:38.3919071Z  24950K .......... .......... .......... .......... .......... 42%  234M 0s
2024-08-22T20:28:38.3920626Z  25000K .......... .......... .......... .......... .......... 42%  299M 0s
2024-08-22T20:28:38.3922515Z  25050K .......... .......... .......... .......... .......... 42%  273M 0s
2024-08-22T20:28:38.3923941Z  25100K .......... .......... .......... .......... .......... 42%  306M 0s
2024-08-22T20:28:38.3926159Z  25150K .......... .......... .......... .......... .......... 42%  244M 0s
2024-08-22T20:28:38.3927555Z  25200K .......... .......... .......... .......... .......... 42%  305M 0s
2024-08-22T20:28:38.3929168Z  25250K .......... .......... .......... .......... .......... 42%  305M 0s
2024-08-22T20:28:38.3931169Z  25300K .......... .......... .......... .......... .......... 42%  272M 0s
2024-08-22T20:28:38.3932733Z  25350K .......... .......... .......... .......... .......... 42%  272M 0s
2024-08-22T20:28:38.3934443Z  25400K .......... .......... .......... .......... .......... 42%  303M 0s
2024-08-22T20:28:38.3936386Z  25450K .......... .......... .......... .......... .......... 42%  286M 0s
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2024-08-22T20:28:38.4236092Z  30700K .......... .......... .......... .......... .......... 51%  330M 0s
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2024-08-22T20:28:38.4465279Z  39700K .......... .......... .......... .......... .......... 66%  247M 0s
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2024-08-22T20:28:38.4470142Z  39800K .......... .......... .......... .......... .......... 67%  251M 0s
2024-08-22T20:28:38.4471138Z  39850K .......... .......... .......... .......... .......... 67%  260M 0s
2024-08-22T20:28:38.4473218Z  39900K .......... .......... .......... .......... .......... 67%  247M 0s
2024-08-22T20:28:38.4475851Z  39950K .......... .......... .......... .......... .......... 67%  212M 0s
2024-08-22T20:28:38.4477731Z  40000K .......... .......... .......... .......... .......... 67%  222M 0s
2024-08-22T20:28:38.4479619Z  40050K .......... .......... .......... .......... .......... 67%  245M 0s
2024-08-22T20:28:38.4481763Z  40100K .......... .......... .......... .......... .......... 67%  238M 0s
2024-08-22T20:28:38.4484332Z  40150K .......... .......... .......... .......... .......... 67%  224M 0s
2024-08-22T20:28:38.4485780Z  40200K .......... .......... .......... .......... .......... 67%  252M 0s
2024-08-22T20:28:38.4487872Z  40250K .......... .......... .......... .......... .......... 67%  244M 0s
2024-08-22T20:28:38.4489976Z  40300K .......... .......... .......... .......... .......... 67%  245M 0s
2024-08-22T20:28:38.4492302Z  40350K .......... .......... .......... .......... .......... 68%  207M 0s
2024-08-22T20:28:38.4494343Z  40400K .......... .......... .......... .......... .......... 68%  230M 0s
2024-08-22T20:28:38.4496482Z  40450K .......... .......... .......... .......... .......... 68%  247M 0s
2024-08-22T20:28:38.4498685Z  40500K .......... .......... .......... .......... .......... 68%  235M 0s
2024-08-22T20:28:38.4500745Z  40550K .......... .......... .......... .......... .......... 68%  218M 0s
2024-08-22T20:28:38.4502851Z  40600K .......... .......... .......... .......... .......... 68%  239M 0s
2024-08-22T20:28:38.4505248Z  40650K .......... .......... .......... .......... .......... 68%  231M 0s
2024-08-22T20:28:38.4507049Z  40700K .......... .......... .......... .......... .......... 68%  242M 0s
2024-08-22T20:28:38.4509211Z  40750K .......... .......... .......... .......... .......... 68%  205M 0s
2024-08-22T20:28:38.4511399Z  40800K .......... .......... .......... .......... .......... 68%  246M 0s
2024-08-22T20:28:38.4513278Z  40850K .......... .......... .......... .......... .......... 68%  236M 0s
2024-08-22T20:28:38.4515502Z  40900K .......... .......... .......... .......... .......... 68%  248M 0s
2024-08-22T20:28:38.4517662Z  40950K .......... .......... .......... .......... .......... 69%  194M 0s
2024-08-22T20:28:38.4519840Z  41000K .......... .......... .......... .......... .......... 69%  238M 0s
2024-08-22T20:28:38.4522118Z  41050K .......... .......... .......... .......... .......... 69%  229M 0s
2024-08-22T20:28:38.4523968Z  41100K .......... .......... .......... .......... .......... 69%  240M 0s
2024-08-22T20:28:38.4526765Z  41150K .......... .......... .......... .......... .......... 69%  203M 0s
2024-08-22T20:28:38.4528359Z  41200K .......... .......... .......... .......... .......... 69%  242M 0s
2024-08-22T20:28:38.4530371Z  41250K .......... .......... .......... .......... .......... 69%  244M 0s
2024-08-22T20:28:38.4532458Z  41300K .......... .......... .......... .......... .......... 69%  236M 0s
2024-08-22T20:28:38.4534699Z  41350K .......... .......... .......... .......... .......... 69%  221M 0s
2024-08-22T20:28:38.4537135Z  41400K .......... .......... .......... .......... .......... 69%  233M 0s
2024-08-22T20:28:38.4539193Z  41450K .......... .......... .......... .......... .......... 69%  246M 0s
2024-08-22T20:28:38.4540852Z  41500K .......... .......... .......... .......... .......... 69%  257M 0s
2024-08-22T20:28:38.4543076Z  41550K .......... .......... .......... .......... .......... 70%  213M 0s
2024-08-22T20:28:38.4544968Z  41600K .......... .......... .......... .......... .......... 70%  241M 0s
2024-08-22T20:28:38.4547022Z  41650K .......... .......... .......... .......... .......... 70%  241M 0s
2024-08-22T20:28:38.4548935Z  41700K .......... .......... .......... .......... .......... 70%  250M 0s
2024-08-22T20:28:38.4551323Z  41750K .......... .......... .......... .......... .......... 70%  226M 0s
2024-08-22T20:28:38.4553126Z  41800K .......... .......... .......... .......... .......... 70%  247M 0s
2024-08-22T20:28:38.4555077Z  41850K .......... .......... .......... .......... .......... 70%  243M 0s
2024-08-22T20:28:38.4558026Z  41900K .......... .......... .......... .......... .......... 70%  214M 0s
2024-08-22T20:28:38.4560141Z  41950K .......... .......... .......... .......... .......... 70%  193M 0s
2024-08-22T20:28:38.4561889Z  42000K .......... .......... .......... .......... .......... 70%  247M 0s
2024-08-22T20:28:38.4564209Z  42050K .......... .......... .......... .......... .......... 70%  253M 0s
2024-08-22T20:28:38.4566274Z  42100K .......... .......... .......... .......... .......... 71%  253M 0s
2024-08-22T20:28:38.4568552Z  42150K .......... .......... .......... .......... .......... 71%  219M 0s
2024-08-22T20:28:38.4570142Z  42200K .......... .......... .......... .......... .......... 71%  243M 0s
2024-08-22T20:28:38.4572466Z  42250K .......... .......... .......... .......... .......... 71%  247M 0s
2024-08-22T20:28:38.4573786Z  42300K .......... .......... .......... .......... .......... 71%  252M 0s
2024-08-22T20:28:38.4576695Z  42350K .......... .......... .......... .......... .......... 71%  210M 0s
2024-08-22T20:28:38.4578272Z  42400K .......... .......... .......... .......... .......... 71%  254M 0s
2024-08-22T20:28:38.4580281Z  42450K .......... .......... .......... .......... .......... 71%  233M 0s
2024-08-22T20:28:38.4582175Z  42500K .......... .......... .......... .......... .......... 71%  251M 0s
2024-08-22T20:28:38.4584305Z  42550K .......... .......... .......... .......... .......... 71%  230M 0s
2024-08-22T20:28:38.4586410Z  42600K .......... .......... .......... .......... .......... 71%  242M 0s
2024-08-22T20:28:38.4588372Z  42650K .......... .......... .......... .......... .......... 71%  239M 0s
2024-08-22T20:28:38.4590858Z  42700K .......... .......... .......... .......... .......... 72%  234M 0s
2024-08-22T20:28:38.4593037Z  42750K .......... .......... .......... .......... .......... 72%  203M 0s
2024-08-22T20:28:38.4594848Z  42800K .......... .......... .......... .......... .......... 72%  244M 0s
2024-08-22T20:28:38.4597412Z  42850K .......... .......... .......... .......... .......... 72%  245M 0s
2024-08-22T20:28:38.4599031Z  42900K .......... .......... .......... .......... .......... 72%  216M 0s
2024-08-22T20:28:38.4601678Z  42950K .......... .......... .......... .......... .......... 72%  213M 0s
2024-08-22T20:28:38.4603550Z  43000K .......... .......... .......... .......... .......... 72%  250M 0s
2024-08-22T20:28:38.4605455Z  43050K .......... .......... .......... .......... .......... 72%  231M 0s
2024-08-22T20:28:38.4607783Z  43100K .......... .......... .......... .......... .......... 72%  242M 0s
2024-08-22T20:28:38.4610149Z  43150K .......... .......... .......... .......... .......... 72%  219M 0s
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2024-08-22T20:28:38.4842697Z  48700K .......... .......... .......... .......... .......... 82%  222M 0s
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2024-08-22T20:28:38.4846900Z  48800K .......... .......... .......... .......... .......... 82%  244M 0s
2024-08-22T20:28:38.4848889Z  48850K .......... .......... .......... .......... .......... 82%  243M 0s
2024-08-22T20:28:38.4851034Z  48900K .......... .......... .......... .......... .......... 82%  248M 0s
2024-08-22T20:28:38.4852869Z  48950K .......... .......... .......... .......... .......... 82%  224M 0s
2024-08-22T20:28:38.4854831Z  49000K .......... .......... .......... .......... .......... 82%  227M 0s
2024-08-22T20:28:38.4856938Z  49050K .......... .......... .......... .......... .......... 82%  240M 0s
2024-08-22T20:28:38.4858967Z  49100K .......... .......... .......... .......... .......... 82%  240M 0s
2024-08-22T20:28:38.4861882Z  49150K .......... .......... .......... .......... .......... 82%  197M 0s
2024-08-22T20:28:38.4864128Z  49200K .......... .......... .......... .......... .......... 82%  246M 0s
2024-08-22T20:28:38.4865486Z  49250K .......... .......... .......... .......... .......... 83%  227M 0s
2024-08-22T20:28:38.4867986Z  49300K .......... .......... .......... .......... .......... 83%  232M 0s
2024-08-22T20:28:38.4870210Z  49350K .......... .......... .......... .......... .......... 83%  218M 0s
2024-08-22T20:28:38.4871843Z  49400K .......... .......... .......... .......... .......... 83%  244M 0s
2024-08-22T20:28:38.4874337Z  49450K .......... .......... .......... .......... .......... 83%  231M 0s
2024-08-22T20:28:38.4876761Z  49500K .......... .......... .......... .......... .......... 83%  229M 0s
2024-08-22T20:28:38.4879352Z  49550K .......... .......... .......... .......... .......... 83%  184M 0s
2024-08-22T20:28:38.4880853Z  49600K .......... .......... .......... .......... .......... 83%  243M 0s
2024-08-22T20:28:38.4883106Z  49650K .......... .......... .......... .......... .......... 83%  248M 0s
2024-08-22T20:28:38.4884847Z  49700K .......... .......... .......... .......... .......... 83%  239M 0s
2024-08-22T20:28:38.4887317Z  49750K .......... .......... .......... .......... .......... 83%  213M 0s
2024-08-22T20:28:38.4889891Z  49800K .......... .......... .......... .......... .......... 83%  232M 0s
2024-08-22T20:28:38.4891126Z  49850K .......... .......... .......... .......... .......... 84%  240M 0s
2024-08-22T20:28:38.4893880Z  49900K .......... .......... .......... .......... .......... 84%  230M 0s
2024-08-22T20:28:38.4895921Z  49950K .......... .......... .......... .......... .......... 84%  211M 0s
2024-08-22T20:28:38.4898144Z  50000K .......... .......... .......... .......... .......... 84%  230M 0s
2024-08-22T20:28:38.4900116Z  50050K .......... .......... .......... .......... .......... 84%  242M 0s
2024-08-22T20:28:38.4901883Z  50100K .......... .......... .......... .......... .......... 84%  241M 0s
2024-08-22T20:28:38.4904057Z  50150K .......... .......... .......... .......... .......... 84%  224M 0s
2024-08-22T20:28:38.4906218Z  50200K .......... .......... .......... .......... .......... 84%  237M 0s
2024-08-22T20:28:38.4908175Z  50250K .......... .......... .......... .......... .......... 84%  235M 0s
2024-08-22T20:28:38.4910235Z  50300K .......... .......... .......... .......... .......... 84%  240M 0s
2024-08-22T20:28:38.4913100Z  50350K .......... .......... .......... .......... .......... 84%  201M 0s
2024-08-22T20:28:38.4914654Z  50400K .......... .......... .......... .......... .......... 84%  253M 0s
2024-08-22T20:28:38.4916951Z  50450K .......... .......... .......... .......... .......... 85%  226M 0s
2024-08-22T20:28:38.4919169Z  50500K .......... .......... .......... .......... .......... 85%  222M 0s
2024-08-22T20:28:38.4921198Z  50550K .......... .......... .......... .......... .......... 85%  216M 0s
2024-08-22T20:28:38.4923657Z  50600K .......... .......... .......... .......... .......... 85%  233M 0s
2024-08-22T20:28:38.4925788Z  50650K .......... .......... .......... .......... .......... 85%  247M 0s
2024-08-22T20:28:38.4927101Z  50700K .......... .......... .......... .......... .......... 85%  248M 0s
2024-08-22T20:28:38.4930204Z  50750K .......... .......... .......... .......... .......... 85%  201M 0s
2024-08-22T20:28:38.4931638Z  50800K .......... .......... .......... .......... .......... 85%  240M 0s
2024-08-22T20:28:38.4934154Z  50850K .......... .......... .......... .......... .......... 85%  226M 0s
2024-08-22T20:28:38.4936005Z  50900K .......... .......... .......... .......... .......... 85%  240M 0s
2024-08-22T20:28:38.4938157Z  50950K .......... .......... .......... .......... .......... 85%  217M 0s
2024-08-22T20:28:38.4940236Z  51000K .......... .......... .......... .......... .......... 85%  236M 0s
2024-08-22T20:28:38.4942292Z  51050K .......... .......... .......... .......... .......... 86%  234M 0s
2024-08-22T20:28:38.4944291Z  51100K .......... .......... .......... .......... .......... 86%  247M 0s
2024-08-22T20:28:38.4947137Z  51150K .......... .......... .......... .......... .......... 86%  212M 0s
2024-08-22T20:28:38.4948575Z  51200K .......... .......... .......... .......... .......... 86%  240M 0s
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2024-08-22T20:28:38.4961019Z  51500K .......... .......... .......... .......... .......... 86%  244M 0s
2024-08-22T20:28:38.4963294Z  51550K .......... .......... .......... .......... .......... 86%  207M 0s
2024-08-22T20:28:38.4965254Z  51600K .......... .......... .......... .......... .......... 87%  249M 0s
2024-08-22T20:28:38.4967374Z  51650K .......... .......... .......... .......... .......... 87%  236M 0s
2024-08-22T20:28:38.4969351Z  51700K .......... .......... .......... .......... .......... 87%  240M 0s
2024-08-22T20:28:38.4971438Z  51750K .......... .......... .......... .......... .......... 87%  223M 0s
2024-08-22T20:28:38.4973573Z  51800K .......... .......... .......... .......... .......... 87%  239M 0s
2024-08-22T20:28:38.4976720Z  51850K .......... .......... .......... .......... .......... 87%  247M 0s
2024-08-22T20:28:38.4977505Z  51900K .......... .......... .......... .......... .......... 87%  283M 0s
2024-08-22T20:28:38.4980237Z  51950K .......... .......... .......... .......... .......... 87%  185M 0s
2024-08-22T20:28:38.4982539Z  52000K .......... .......... .......... .......... .......... 87%  214M 0s
2024-08-22T20:28:38.4984983Z  52050K .......... .......... .......... .......... .......... 87%  197M 0s
2024-08-22T20:28:38.4987374Z  52100K .......... .......... .......... .......... .......... 87%  209M 0s
2024-08-22T20:28:38.4989935Z  52150K .......... .......... .......... .......... .......... 87%  189M 0s
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2024-08-22T20:28:38.5251542Z  57750K .......... .......... .......... .......... .......... 97%  205M 0s
2024-08-22T20:28:38.5253712Z  57800K .......... .......... .......... .......... .......... 97%  225M 0s
2024-08-22T20:28:38.5255928Z  57850K .......... .......... .......... .......... .......... 97%  222M 0s
2024-08-22T20:28:38.5258041Z  57900K .......... .......... .......... .......... .......... 97%  232M 0s
2024-08-22T20:28:38.5260444Z  57950K .......... .......... .......... .......... .......... 97%  201M 0s
2024-08-22T20:28:38.5262545Z  58000K .......... .......... .......... .......... .......... 97%  230M 0s
2024-08-22T20:28:38.5264703Z  58050K .......... .......... .......... .......... .......... 97%  230M 0s
2024-08-22T20:28:38.5266832Z  58100K .......... .......... .......... .......... .......... 97%  229M 0s
2024-08-22T20:28:38.5269132Z  58150K .......... .......... .......... .......... .......... 98%  211M 0s
2024-08-22T20:28:38.5271271Z  58200K .......... .......... .......... .......... .......... 98%  231M 0s
2024-08-22T20:28:38.5273370Z  58250K .......... .......... .......... .......... .......... 98%  230M 0s
2024-08-22T20:28:38.5275598Z  58300K .......... .......... .......... .......... .......... 98%  227M 0s
2024-08-22T20:28:38.5278234Z  58350K .......... .......... .......... .......... .......... 98%  185M 0s
2024-08-22T20:28:38.5280309Z  58400K .......... .......... .......... .......... .......... 98%  228M 0s
2024-08-22T20:28:38.5282428Z  58450K .......... .......... .......... .......... .......... 98%  231M 0s
2024-08-22T20:28:38.5284513Z  58500K .......... .......... .......... .......... .......... 98%  234M 0s
2024-08-22T20:28:38.5286846Z  58550K .......... .......... .......... .......... .......... 98%  208M 0s
2024-08-22T20:28:38.5288992Z  58600K .......... .......... .......... .......... .......... 98%  227M 0s
2024-08-22T20:28:38.5291284Z  58650K .......... .......... .......... .......... .......... 98%  218M 0s
2024-08-22T20:28:38.5293428Z  58700K .......... .......... .......... .......... .......... 98%  229M 0s
2024-08-22T20:28:38.5295807Z  58750K .......... .......... .......... .......... .......... 99%  200M 0s
2024-08-22T20:28:38.5297972Z  58800K .......... .......... .......... .......... .......... 99%  229M 0s
2024-08-22T20:28:38.5300062Z  58850K .......... .......... .......... .......... .......... 99%  231M 0s
2024-08-22T20:28:38.5302205Z  58900K .......... .......... .......... .......... .......... 99%  229M 0s
2024-08-22T20:28:38.5304515Z  58950K .......... .......... .......... .......... .......... 99%  209M 0s
2024-08-22T20:28:38.5306642Z  59000K .......... .......... .......... .......... .......... 99%  230M 0s
2024-08-22T20:28:38.5308834Z  59050K .......... .......... .......... .......... .......... 99%  225M 0s
2024-08-22T20:28:38.5310940Z  59100K .......... .......... .......... .......... .......... 99%  231M 0s
2024-08-22T20:28:38.5313384Z  59150K .......... .......... .......... .......... .......... 99%  200M 0s
2024-08-22T20:28:38.5315505Z  59200K .......... .......... .......... .......... .......... 99%  230M 0s
2024-08-22T20:28:38.5317773Z  59250K .......... .......... .......... .......... .......... 99%  217M 0s
2024-08-22T20:28:38.5319939Z  59300K .......... .......... .......... .......... .......... 99%  226M 0s
2024-08-22T20:28:38.5320792Z  59350K .......... ....                                       100%  217M=0.3s
2024-08-22T20:28:38.5320805Z 
2024-08-22T20:28:38.5322139Z 2024-08-22 20:28:38 (214 MB/s) - ‘stories15M.pt’ saved [60789090/60789090]
2024-08-22T20:28:38.5322154Z 
2024-08-22T20:28:38.5331447Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:38.5331903Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:38.5332602Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model'
2024-08-22T20:28:38.5332855Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:38.5358402Z --2024-08-22 20:28:38--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:38.5396103Z Resolving github.com (github.com)... 140.82.113.4
2024-08-22T20:28:38.5452348Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-08-22T20:28:38.6039300Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:38.6039963Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model [following]
2024-08-22T20:28:38.6041063Z --2024-08-22 20:28:38--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model
2024-08-22T20:28:38.6064294Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ...
2024-08-22T20:28:38.6118279Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
2024-08-22T20:28:38.6342657Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:38.6343432Z Length: 499723 (488K) [application/octet-stream]
2024-08-22T20:28:38.6344209Z Saving to: ‘tokenizer.model’
2024-08-22T20:28:38.6352258Z 
2024-08-22T20:28:38.6402699Z      0K .......... .......... .......... .......... .......... 10% 8.44M 0s
2024-08-22T20:28:38.6448692Z     50K .......... .......... .......... .......... .......... 20% 10.6M 0s
2024-08-22T20:28:38.6457019Z    100K .......... .......... .......... .......... .......... 30% 57.7M 0s
2024-08-22T20:28:38.6469212Z    150K .......... .......... .......... .......... .......... 40% 41.3M 0s
2024-08-22T20:28:38.6504559Z    200K .......... .......... .......... .......... .......... 51% 13.8M 0s
2024-08-22T20:28:38.6512001Z    250K .......... .......... .......... .......... .......... 61%  101M 0s
2024-08-22T20:28:38.6515055Z    300K .......... .......... .......... .......... .......... 71% 85.1M 0s
2024-08-22T20:28:38.6518651Z    350K .......... .......... .......... .......... .......... 81%  129M 0s
2024-08-22T20:28:38.6523177Z    400K .......... .......... .......... .......... .......... 92%  108M 0s
2024-08-22T20:28:38.6551563Z    450K .......... .......... .......... ........             100% 13.3M=0.02s
2024-08-22T20:28:38.6551589Z 
2024-08-22T20:28:38.6552376Z 2024-08-22 20:28:38 (23.1 MB/s) - ‘tokenizer.model’ saved [499723/499723]
2024-08-22T20:28:38.6552391Z 
2024-08-22T20:28:38.6574467Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:38.6575176Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin'
2024-08-22T20:28:38.6575582Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:38.6577531Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:38.6605903Z --2024-08-22 20:28:38--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:38.6639702Z Resolving github.com (github.com)... 140.82.113.4
2024-08-22T20:28:38.6694143Z Connecting to github.com (github.com)|140.82.113.4|:443... connected.
2024-08-22T20:28:38.7333877Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:38.7334606Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin [following]
2024-08-22T20:28:38.7335558Z --2024-08-22 20:28:38--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin
2024-08-22T20:28:38.7340584Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.110.133, 185.199.108.133, ...
2024-08-22T20:28:38.7394466Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
2024-08-22T20:28:38.7609605Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:38.7610144Z Length: 433869 (424K) [application/octet-stream]
2024-08-22T20:28:38.7610463Z Saving to: ‘tokenizer.bin’
2024-08-22T20:28:38.7617358Z 
2024-08-22T20:28:38.7667325Z      0K .......... .......... .......... .......... .......... 11% 8.67M 0s
2024-08-22T20:28:38.7712736Z     50K .......... .......... .......... .......... .......... 23% 10.7M 0s
2024-08-22T20:28:38.7730840Z    100K .......... .......... .......... .......... .......... 35% 27.0M 0s
2024-08-22T20:28:38.7739050Z    150K .......... .......... .......... .......... .......... 47% 60.5M 0s
2024-08-22T20:28:38.7768918Z    200K .......... .......... .......... .......... .......... 59% 16.3M 0s
2024-08-22T20:28:38.7781787Z    250K .......... .......... .......... .......... .......... 70% 37.5M 0s
2024-08-22T20:28:38.7788679Z    300K .......... .......... .......... .......... .......... 82% 73.3M 0s
2024-08-22T20:28:38.7792939Z    350K .......... .......... .......... .......... .......... 94%  156M 0s
2024-08-22T20:28:38.7793172Z    400K .......... .......... ...                             100%  320M=0.02s
2024-08-22T20:28:38.7793181Z 
2024-08-22T20:28:38.7793582Z 2024-08-22 20:28:38 (22.8 MB/s) - ‘tokenizer.bin’ saved [433869/433869]
2024-08-22T20:28:38.7793590Z 
2024-08-22T20:28:38.7802227Z + popd
2024-08-22T20:28:38.7802408Z ~/work/torchchat/torchchat
2024-08-22T20:28:38.7850793Z ##[group]Run python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:28:38.7851472Z python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:28:38.7851655Z pushd ${TORCHCHAT_ROOT}
2024-08-22T20:28:38.7852001Z bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
2024-08-22T20:28:38.7852589Z bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cpu" "compile"
2024-08-22T20:28:38.7928780Z shell: /usr/bin/bash -e {0}
2024-08-22T20:28:38.7928865Z env:
2024-08-22T20:28:38.7929055Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:28:38.7929171Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:28:38.7929359Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.7929624Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:28:38.7929823Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.7930007Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.7930177Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:38.7930371Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:28:38.7930456Z ##[endgroup]
2024-08-22T20:28:39.9809657Z torch: ('2.5.0.dev20240814+cpu', '3a023a67c47bcde45538c9991e332d21ac548e46')
2024-08-22T20:28:40.2109787Z ~/work/torchchat/torchchat ~/work/torchchat/torchchat
2024-08-22T20:28:40.2131530Z ~/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M ~/work/torchchat/torchchat
2024-08-22T20:28:40.2148891Z ~/work/torchchat/torchchat
2024-08-22T20:28:40.2178259Z arg:compile
2024-08-22T20:28:40.2206236Z ############### Run inference with torch.compile for dtype float32 ###############
2024-08-22T20:28:40.2206695Z 
2024-08-22T20:28:40.2206830Z ******************************************
2024-08-22T20:28:40.2207559Z ************** non-quantized *************
2024-08-22T20:28:40.2207917Z ******************************************
2024-08-22T20:28:43.8276140Z 
2024-08-22T20:28:43.8279621Z Downloading builder script:   0%|          | 0.00/5.67k [00:00<?, ?B/s]
2024-08-22T20:28:43.8280649Z Downloading builder script: 100%|██████████| 5.67k/5.67k [00:00<00:00, 21.2MB/s]
2024-08-22T20:29:09.0826837Z 2024-08-22:20:29:09,082 INFO     [generate.py:846] 
2024-08-22T20:29:09.0828147Z Time for inference 1: 24.23 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 8.21 tokens/sec, 121.78 ms/token
2024-08-22T20:29:09.0829637Z 2024-08-22:20:29:09,082 INFO     [generate.py:849] Bandwidth achieved: 0.80 GB/s
2024-08-22T20:29:09.0831410Z 2024-08-22:20:29:09,082 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:29:10.5813683Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:29:10.5814231Z Loading model...
2024-08-22T20:29:10.5815888Z Time to load model: 0.02 seconds
2024-08-22T20:29:10.5816685Z -----------------------------------------------------------
2024-08-22T20:29:10.5818218Z Hello, my name is Miss Dave. He loves to play with his friends. But every time he spends his time playing, he forgets to wash his hands. Miss Dave is very unhappy and doesn't want to share his toys.
2024-08-22T20:29:10.5820470Z One day, Miss Dave's friend asked him to play a game. Miss Dave was hesitant but he decided to give it a try. He washed his hands and his face, and there it felt nice. He was really happy and thought he was clever.
2024-08-22T20:29:10.5822873Z Next, Miss Dave found a match and tried it on a piece of paper. To his surprise, it was even better than the matter! He felt happy and relieved.
2024-08-22T20:29:10.5825482Z The result of the game was a lot of fun, and Miss Dave realized that sometimes things don't go as planned, but it's important to be clever and try your best. Once upon a time, there was a little boy named Timmy. Timmy loved to playjust-in-time compilation time (incl run time): 2.4e+01 seconds
2024-08-22T20:29:10.5826949Z 
2024-08-22T20:29:10.5827073Z ========================================
2024-08-22T20:29:10.5827308Z 
2024-08-22T20:29:10.5827417Z Average tokens/sec: 8.21
2024-08-22T20:29:10.5827702Z Memory used: 0.00 GB
2024-08-22T20:29:10.5964501Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:29:10.5971254Z cat: write error: Broken pipe
2024-08-22T20:29:10.5978617Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:29:10.5980883Z ******************************************
2024-08-22T20:29:10.5981662Z ******* Emb: channel-wise quantized ******
2024-08-22T20:29:10.5982084Z ******************************************
2024-08-22T20:29:15.8506840Z 2024-08-22:20:29:15,850 INFO     [generate.py:846] 
2024-08-22T20:29:15.8508164Z Time for inference 1: 1.66 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 120.04 tokens/sec, 8.33 ms/token
2024-08-22T20:29:15.8509656Z 2024-08-22:20:29:15,850 INFO     [generate.py:849] Bandwidth achieved: 8.42 GB/s
2024-08-22T20:29:15.8511237Z 2024-08-22:20:29:15,850 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:29:16.4789421Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:29:16.4790148Z Loading model...
2024-08-22T20:29:16.4790605Z Time to load model: 0.02 seconds
2024-08-22T20:29:16.4791420Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:29:16.4791971Z Time to quantize model: 0.02 seconds
2024-08-22T20:29:16.4792403Z -----------------------------------------------------------
2024-08-22T20:29:16.4793533Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:29:16.4795670Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:29:16.4797599Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:29:16.4798983Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:29:16.4799744Z Daisy says, "I want
2024-08-22T20:29:16.4800016Z ========================================
2024-08-22T20:29:16.4800257Z 
2024-08-22T20:29:16.4800371Z Average tokens/sec: 120.04
2024-08-22T20:29:16.4800665Z Memory used: 0.00 GB
2024-08-22T20:29:16.4935116Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:29:16.4943801Z cat: write error: Broken pipe
2024-08-22T20:29:16.4949899Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:29:42.7843227Z 2024-08-22:20:29:42,783 INFO     [generate.py:846] 
2024-08-22T20:29:42.7845506Z Time for inference 1: 21.98 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 9.05 tokens/sec, 110.44 ms/token
2024-08-22T20:29:42.7847841Z 2024-08-22:20:29:42,784 INFO     [generate.py:849] Bandwidth achieved: 0.63 GB/s
2024-08-22T20:29:42.7850522Z 2024-08-22:20:29:42,784 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:29:44.1314081Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:29:44.1314687Z Loading model...
2024-08-22T20:29:44.1314996Z Time to load model: 0.02 seconds
2024-08-22T20:29:44.1315704Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:29:44.1316315Z Time to quantize model: 0.02 seconds
2024-08-22T20:29:44.1317080Z -----------------------------------------------------------
2024-08-22T20:29:44.1318772Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:29:44.1320751Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:29:44.1322610Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:29:44.1324158Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:29:44.1325174Z Daisy says, "I wantjust-in-time compilation time (incl run time): 2.2e+01 seconds
2024-08-22T20:29:44.1325674Z 
2024-08-22T20:29:44.1325778Z ========================================
2024-08-22T20:29:44.1326010Z 
2024-08-22T20:29:44.1326112Z Average tokens/sec: 9.05
2024-08-22T20:29:44.1326478Z Memory used: 0.00 GB
2024-08-22T20:29:44.1465161Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:29:44.1472254Z cat: write error: Broken pipe
2024-08-22T20:29:44.1479492Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:29:44.1481813Z ******************************************
2024-08-22T20:29:44.1482544Z ******** Emb: group-wise quantized *******
2024-08-22T20:29:44.1482889Z ******************************************
2024-08-22T20:29:49.3831182Z 2024-08-22:20:29:49,382 INFO     [generate.py:846] 
2024-08-22T20:29:49.3832497Z Time for inference 1: 1.63 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 121.83 tokens/sec, 8.21 ms/token
2024-08-22T20:29:49.3834170Z 2024-08-22:20:29:49,382 INFO     [generate.py:849] Bandwidth achieved: 9.09 GB/s
2024-08-22T20:29:49.3835929Z 2024-08-22:20:29:49,382 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:29:50.0294556Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:29:50.0295085Z Loading model...
2024-08-22T20:29:50.0295356Z Time to load model: 0.02 seconds
2024-08-22T20:29:50.0296178Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:29:50.0297069Z Time to quantize model: 0.03 seconds
2024-08-22T20:29:50.0297843Z -----------------------------------------------------------
2024-08-22T20:29:50.0299716Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:29:50.0301486Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:29:50.0302823Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:29:50.0304599Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-08-22T20:29:50.0305614Z ========================================
2024-08-22T20:29:50.0305841Z 
2024-08-22T20:29:50.0305942Z Average tokens/sec: 121.83
2024-08-22T20:29:50.0306224Z Memory used: 0.00 GB
2024-08-22T20:29:50.0450984Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:29:50.0458185Z cat: write error: Broken pipe
2024-08-22T20:29:50.0465286Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:16.2524684Z 2024-08-22:20:30:16,252 INFO     [generate.py:846] 
2024-08-22T20:30:16.2528287Z Time for inference 1: 21.72 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 9.16 tokens/sec, 109.16 ms/token
2024-08-22T20:30:16.2530019Z 2024-08-22:20:30:16,252 INFO     [generate.py:849] Bandwidth achieved: 0.68 GB/s
2024-08-22T20:30:16.2532282Z 2024-08-22:20:30:16,252 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:30:17.6665787Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:30:17.6666374Z Loading model...
2024-08-22T20:30:17.6666791Z Time to load model: 0.02 seconds
2024-08-22T20:30:17.6667902Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:30:17.6668521Z Time to quantize model: 0.03 seconds
2024-08-22T20:30:17.6669027Z -----------------------------------------------------------
2024-08-22T20:30:17.6670363Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:30:17.6672095Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:30:17.6673639Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:30:17.6675703Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, therejust-in-time compilation time (incl run time): 2.2e+01 seconds
2024-08-22T20:30:17.6677373Z 
2024-08-22T20:30:17.6677490Z ========================================
2024-08-22T20:30:17.6677732Z 
2024-08-22T20:30:17.6677839Z Average tokens/sec: 9.16
2024-08-22T20:30:17.6678138Z Memory used: 0.00 GB
2024-08-22T20:30:17.6813490Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:30:17.6818964Z cat: write error: Broken pipe
2024-08-22T20:30:17.6825847Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:17.6828183Z ***********************************************
2024-08-22T20:30:17.6828954Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:30:17.6829377Z ***********************************************
2024-08-22T20:30:24.3137332Z 2024-08-22:20:30:24,313 INFO     [generate.py:846] 
2024-08-22T20:30:24.3138636Z Time for inference 1: 3.18 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 62.58 tokens/sec, 15.98 ms/token
2024-08-22T20:30:24.3140117Z 2024-08-22:20:30:24,313 INFO     [generate.py:849] Bandwidth achieved: 4.10 GB/s
2024-08-22T20:30:24.3141721Z 2024-08-22:20:30:24,313 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:30:24.9089795Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:30:24.9090512Z Loading model...
2024-08-22T20:30:24.9090963Z Time to load model: 0.02 seconds
2024-08-22T20:30:24.9092097Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:30:24.9093477Z Time to quantize model: 0.03 seconds
2024-08-22T20:30:24.9094168Z -----------------------------------------------------------
2024-08-22T20:30:24.9095317Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:30:24.9096551Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his mom.
2024-08-22T20:30:24.9098775Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:30:24.9099857Z His mom said, "Be careful, Jack. You don't want to get hurt."
2024-08-22T20:30:24.9100395Z Jack said, "I'm not scared. I'm brave."
2024-08-22T20:30:24.9101355Z He started to climb the tree. He was almost at the top when he heard a loud noise. He looked down and saw a big, scary dog. The dog barked and growled at him.
2024-08-22T20:30:24.9102491Z Jack was scared and he started to cry. He tried to climb down, but he was too
2024-08-22T20:30:24.9103054Z ========================================
2024-08-22T20:30:24.9103295Z 
2024-08-22T20:30:24.9103403Z Average tokens/sec: 62.58
2024-08-22T20:30:24.9103973Z Memory used: 0.00 GB
2024-08-22T20:30:24.9235804Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:30:24.9243710Z cat: write error: Broken pipe
2024-08-22T20:30:24.9251346Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:51.2402407Z 2024-08-22:20:30:51,239 INFO     [generate.py:846] 
2024-08-22T20:30:51.2404498Z Time for inference 1: 21.89 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 9.09 tokens/sec, 109.99 ms/token
2024-08-22T20:30:51.2437890Z 2024-08-22:20:30:51,240 INFO     [generate.py:849] Bandwidth achieved: 0.60 GB/s
2024-08-22T20:30:51.2439660Z 2024-08-22:20:30:51,240 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:30:52.6906065Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:30:52.6906707Z Loading model...
2024-08-22T20:30:52.6907165Z Time to load model: 0.02 seconds
2024-08-22T20:30:52.6908215Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:30:52.6909111Z Time to quantize model: 0.03 seconds
2024-08-22T20:30:52.6909542Z -----------------------------------------------------------
2024-08-22T20:30:52.6910713Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:30:52.6911885Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his mom.
2024-08-22T20:30:52.6912569Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:30:52.6913171Z His mom said, "Be careful, Jack. You don't want to get hurt."
2024-08-22T20:30:52.6913641Z Jack said, "I'm not scared. I'm brave."
2024-08-22T20:30:52.6914481Z He started to climb the tree. He was almost at the top when he heard a loud noise. He looked down and saw a big, scary dog. The dog barked and growled at him.
2024-08-22T20:30:52.6915784Z Jack was scared and he started to cry. He tried to climb down, but he was toojust-in-time compilation time (incl run time): 2.2e+01 seconds
2024-08-22T20:30:52.6916421Z 
2024-08-22T20:30:52.6916783Z ========================================
2024-08-22T20:30:52.6917006Z 
2024-08-22T20:30:52.6917114Z Average tokens/sec: 9.09
2024-08-22T20:30:52.6917375Z Memory used: 0.00 GB
2024-08-22T20:30:52.7051906Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:30:52.7058642Z cat: write error: Broken pipe
2024-08-22T20:30:52.7066946Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:52.7069195Z ***********************************************
2024-08-22T20:30:52.7069980Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:30:52.7070703Z ***********************************************
2024-08-22T20:30:59.4420293Z 2024-08-22:20:30:59,441 INFO     [generate.py:846] 
2024-08-22T20:30:59.4421586Z Time for inference 1: 3.24 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 61.45 tokens/sec, 16.27 ms/token
2024-08-22T20:30:59.4423182Z 2024-08-22:20:30:59,441 INFO     [generate.py:849] Bandwidth achieved: 4.30 GB/s
2024-08-22T20:30:59.4425079Z 2024-08-22:20:30:59,441 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:31:00.1089435Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:31:00.1090141Z Loading model...
2024-08-22T20:31:00.1090602Z Time to load model: 0.02 seconds
2024-08-22T20:31:00.1091567Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:31:00.1092159Z Time to quantize model: 0.03 seconds
2024-08-22T20:31:00.1092582Z -----------------------------------------------------------
2024-08-22T20:31:00.1093182Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:31:00.1095131Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited. She ran to the car and said, "Mommy, can I go to the store?"
2024-08-22T20:31:00.1096240Z Mommy smiled and said, "Yes, Daisy. You can go to the store."
2024-08-22T20:31:00.1097115Z So Daisy got in the car and drove to the store. When she got there, she saw a big, shiny, new toy. She was so happy!
2024-08-22T20:31:00.1097898Z Daisy said, "Mommy, can I have this toy?"
2024-08-22T20:31:00.1098282Z Mommy said, "Yes, Daisy. You can have it."
2024-08-22T20:31:00.1098868Z Daisy was so excited. She hugged the toy and said, "Thank you, Mommy!"
2024-08-22T20:31:00.1099264Z 
2024-08-22T20:31:00.1099452Z ========================================
2024-08-22T20:31:00.1099832Z 
2024-08-22T20:31:00.1100002Z Average tokens/sec: 61.45
2024-08-22T20:31:00.1100446Z Memory used: 0.00 GB
2024-08-22T20:31:00.1234759Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:31:00.1243100Z cat: write error: Broken pipe
2024-08-22T20:31:00.1249354Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:31:26.6711197Z 2024-08-22:20:31:26,670 INFO     [generate.py:846] 
2024-08-22T20:31:26.6714734Z Time for inference 1: 22.11 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 9.00 tokens/sec, 111.10 ms/token
2024-08-22T20:31:26.6716941Z 2024-08-22:20:31:26,670 INFO     [generate.py:849] Bandwidth achieved: 0.63 GB/s
2024-08-22T20:31:26.6724408Z 2024-08-22:20:31:26,670 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:31:28.1439070Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:31:28.1439521Z Loading model...
2024-08-22T20:31:28.1439791Z Time to load model: 0.02 seconds
2024-08-22T20:31:28.1440419Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:31:28.1441895Z Time to quantize model: 0.03 seconds
2024-08-22T20:31:28.1442620Z -----------------------------------------------------------
2024-08-22T20:31:28.1443218Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:31:28.1444393Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited. She ran to the car and said, "Mommy, can I go to the store?"
2024-08-22T20:31:28.1445366Z Mommy smiled and said, "Yes, Daisy. You can go to the store."
2024-08-22T20:31:28.1446215Z So Daisy got in the car and drove to the store. When she got there, she saw a big, shiny, new toy. She was so happy!
2024-08-22T20:31:28.1446878Z Daisy said, "Mommy, can I have this toy?"
2024-08-22T20:31:28.1447244Z Mommy said, "Yes, Daisy. You can have it."
2024-08-22T20:31:28.1447718Z Daisy was so excited. She hugged the toy and said, "Thank you, Mommy!"
2024-08-22T20:31:28.1448672Z just-in-time compilation time (incl run time): 2.2e+01 seconds
2024-08-22T20:31:28.1449005Z 
2024-08-22T20:31:28.1449103Z ========================================
2024-08-22T20:31:28.1449322Z 
2024-08-22T20:31:28.1449436Z Average tokens/sec: 9.00
2024-08-22T20:31:28.1449701Z Memory used: 0.00 GB
2024-08-22T20:31:28.1584037Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:31:28.1592396Z cat: write error: Broken pipe
2024-08-22T20:31:28.1600083Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:31:28.1602079Z ******************************************
2024-08-22T20:31:28.1602825Z ******* INT8 channel-wise quantized ******
2024-08-22T20:31:28.1603252Z ******************************************
2024-08-22T20:31:33.5080064Z 2024-08-22:20:31:33,507 INFO     [generate.py:846] 
2024-08-22T20:31:33.5081361Z Time for inference 1: 1.77 sec total, time to first token 0.04 sec with parallel prefill, 199 tokens, 112.56 tokens/sec, 8.88 ms/token
2024-08-22T20:31:33.5082878Z 2024-08-22:20:31:33,507 INFO     [generate.py:849] Bandwidth achieved: 5.88 GB/s
2024-08-22T20:31:33.5084950Z 2024-08-22:20:31:33,507 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:31:34.1567521Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:31:34.1568260Z Loading model...
2024-08-22T20:31:34.1568737Z Time to load model: 0.02 seconds
2024-08-22T20:31:34.1569709Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:31:34.1570343Z Time to quantize model: 0.04 seconds
2024-08-22T20:31:34.1570796Z -----------------------------------------------------------
2024-08-22T20:31:34.1572068Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:31:34.1573901Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:31:34.1576364Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:31:34.1577968Z Daisy and the boy are friends. They like to play at
2024-08-22T20:31:34.1578358Z ========================================
2024-08-22T20:31:34.1578581Z 
2024-08-22T20:31:34.1578685Z Average tokens/sec: 112.56
2024-08-22T20:31:34.1578967Z Memory used: 0.00 GB
2024-08-22T20:31:34.1716756Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:31:34.1724985Z cat: write error: Broken pipe
2024-08-22T20:31:34.1730915Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:32:05.8161581Z 2024-08-22:20:32:05,815 INFO     [generate.py:846] 
2024-08-22T20:32:05.8165705Z Time for inference 1: 27.21 sec total, time to first token 0.04 sec with parallel prefill, 199 tokens, 7.31 tokens/sec, 136.74 ms/token
2024-08-22T20:32:05.8168670Z 2024-08-22:20:32:05,815 INFO     [generate.py:849] Bandwidth achieved: 0.38 GB/s
2024-08-22T20:32:05.8170658Z 2024-08-22:20:32:05,816 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:32:07.2909093Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:32:07.2909549Z Loading model...
2024-08-22T20:32:07.2913075Z Time to load model: 0.02 seconds
2024-08-22T20:32:07.2914439Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:32:07.2915418Z Time to quantize model: 0.04 seconds
2024-08-22T20:32:07.2916165Z -----------------------------------------------------------
2024-08-22T20:32:07.2918138Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:32:07.2922068Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:32:07.2924326Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:32:07.2925910Z Daisy and the boy are friends. They like to play atjust-in-time compilation time (incl run time): 2.7e+01 seconds
2024-08-22T20:32:07.2926445Z 
2024-08-22T20:32:07.2926546Z ========================================
2024-08-22T20:32:07.2926761Z 
2024-08-22T20:32:07.2926867Z Average tokens/sec: 7.31
2024-08-22T20:32:07.2927129Z Memory used: 0.00 GB
2024-08-22T20:32:07.3055298Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:32:07.3063496Z cat: write error: Broken pipe
2024-08-22T20:32:07.3072256Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:32:07.3074554Z ******************************************
2024-08-22T20:32:07.3075085Z ******** INT8 group-wise quantized *******
2024-08-22T20:32:07.3075547Z ******************************************
2024-08-22T20:32:13.7619761Z 2024-08-22:20:32:13,761 INFO     [generate.py:846] 
2024-08-22T20:32:13.7621027Z Time for inference 1: 2.88 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 69.04 tokens/sec, 14.48 ms/token
2024-08-22T20:32:13.7622502Z 2024-08-22:20:32:13,761 INFO     [generate.py:849] Bandwidth achieved: 4.12 GB/s
2024-08-22T20:32:13.7624086Z 2024-08-22:20:32:13,761 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:32:14.4721488Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:32:14.4722303Z Loading model...
2024-08-22T20:32:14.4722769Z Time to load model: 0.02 seconds
2024-08-22T20:32:14.4723826Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:32:14.4724977Z Time to quantize model: 0.05 seconds
2024-08-22T20:32:14.4725936Z -----------------------------------------------------------
2024-08-22T20:32:14.4726889Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:32:14.4728460Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:32:14.4730004Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:32:14.4730948Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:32:14.4732744Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!
2024-08-22T20:32:14.4734399Z ========================================
2024-08-22T20:32:14.4734725Z 
2024-08-22T20:32:14.4734830Z Average tokens/sec: 69.04
2024-08-22T20:32:14.4735107Z Memory used: 0.00 GB
2024-08-22T20:32:14.4867976Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:32:14.4875181Z cat: write error: Broken pipe
2024-08-22T20:32:14.4884013Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:32:46.5808113Z 2024-08-22:20:32:46,580 INFO     [generate.py:846] 
2024-08-22T20:32:46.5809407Z Time for inference 1: 27.62 sec total, time to first token 0.02 sec with parallel prefill, 199 tokens, 7.20 tokens/sec, 138.81 ms/token
2024-08-22T20:32:46.5816014Z 2024-08-22:20:32:46,580 INFO     [generate.py:849] Bandwidth achieved: 0.43 GB/s
2024-08-22T20:32:46.5817817Z 2024-08-22:20:32:46,580 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:32:48.1105009Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:32:48.1105782Z Loading model...
2024-08-22T20:32:48.1106251Z Time to load model: 0.02 seconds
2024-08-22T20:32:48.1107252Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:32:48.1107951Z Time to quantize model: 0.05 seconds
2024-08-22T20:32:48.1108421Z -----------------------------------------------------------
2024-08-22T20:32:48.1109180Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:32:48.1110538Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:32:48.1112302Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:32:48.1113405Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:32:48.1116370Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!just-in-time compilation time (incl run time): 2.8e+01 seconds
2024-08-22T20:32:48.1118861Z 
2024-08-22T20:32:48.1118981Z ========================================
2024-08-22T20:32:48.1119221Z 
2024-08-22T20:32:48.1119336Z Average tokens/sec: 7.20
2024-08-22T20:32:48.1119702Z Memory used: 0.00 GB
2024-08-22T20:32:48.1256068Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:32:48.1264256Z cat: write error: Broken pipe
2024-08-22T20:32:48.1270254Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:32:48.1272694Z ******************************************
2024-08-22T20:32:48.1273568Z ******** INT4 group-wise quantized *******
2024-08-22T20:32:48.1274159Z ******************************************
2024-08-22T20:32:51.7502271Z 2024-08-22:20:32:51,749 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
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2024-08-22T20:32:51.8315616Z 2024-08-22:20:32:51,831 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:32:51.8333032Z 2024-08-22:20:32:51,833 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:32:51.8334520Z 2024-08-22:20:32:51,833 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:32:58.4877477Z 2024-08-22:20:32:58,487 INFO     [generate.py:846] 
2024-08-22T20:32:58.4878815Z Time for inference 1: 6.55 sec total, time to first token 0.21 sec with parallel prefill, 199 tokens, 30.40 tokens/sec, 32.90 ms/token
2024-08-22T20:32:58.4880899Z 2024-08-22:20:32:58,487 INFO     [generate.py:849] Bandwidth achieved: 2.27 GB/s
2024-08-22T20:32:58.4882556Z 2024-08-22:20:32:58,487 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:32:59.1091146Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:32:59.1091871Z Loading model...
2024-08-22T20:32:59.1092223Z Time to load model: 0.02 seconds
2024-08-22T20:32:59.1092771Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:32:59.1093267Z Time to quantize model: 0.19 seconds
2024-08-22T20:32:59.1093710Z -----------------------------------------------------------
2024-08-22T20:32:59.1094800Z Hello, my name is Gus. He has a big, red ball. He likes to play with it. One day, he sees a big, red ball in the park. He wants to play with it. He runs to the ball and kicks it hard.
2024-08-22T20:32:59.1096458Z "Hey, that's my ball!" a girl says. She is looking for her ball. She sees Gus and runs to him. She grabs the ball and throws it back to him.
2024-08-22T20:32:59.1097649Z "Gus, give me my ball!" A boy says. He is holding the ball in his hand. He is happy. He likes to play with balls.
2024-08-22T20:32:59.1098989Z "Give me my ball!" A boy says. He is angry. He does not like to share. He kicks the ball hard. The ball flies in the air and hits a man. The man is not happy. He is angry.
2024-08-22T20:32:59.1100051Z "Hey, that's not nice!" a man says. He is the
2024-08-22T20:32:59.1100434Z ========================================
2024-08-22T20:32:59.1100681Z 
2024-08-22T20:32:59.1100790Z Average tokens/sec: 30.40
2024-08-22T20:32:59.1101089Z Memory used: 0.00 GB
2024-08-22T20:32:59.1237691Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:32:59.1244514Z cat: write error: Broken pipe
2024-08-22T20:32:59.1251258Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:33:02.6395608Z 2024-08-22:20:33:02,639 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
2024-08-22T20:33:02.6397173Z 2024-08-22:20:33:02,639 WARNING  [GPTQ.py:706] warning: layers.0.attention.wq is padded to satisfy in_features % 1024 == 0
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2024-08-22T20:33:02.6443373Z 2024-08-22:20:33:02,644 INFO     [GPTQ.py:693] linear: layers.0.attention.wv, in=288, out=288
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2024-08-22T20:33:02.6465442Z 2024-08-22:20:33:02,646 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w1, in=288, out=768
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2024-08-22T20:33:02.6493843Z 2024-08-22:20:33:02,649 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w2, in=768, out=288
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2024-08-22T20:33:02.6505725Z 2024-08-22:20:33:02,650 WARNING  [GPTQ.py:706] warning: layers.0.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6538410Z 2024-08-22:20:33:02,653 INFO     [GPTQ.py:693] linear: layers.1.attention.wq, in=288, out=288
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2024-08-22T20:33:02.6548886Z 2024-08-22:20:33:02,654 INFO     [GPTQ.py:693] linear: layers.1.attention.wk, in=288, out=288
2024-08-22T20:33:02.6551361Z 2024-08-22:20:33:02,654 WARNING  [GPTQ.py:706] warning: layers.1.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6565970Z 2024-08-22:20:33:02,656 INFO     [GPTQ.py:693] linear: layers.1.attention.wv, in=288, out=288
2024-08-22T20:33:02.6567821Z 2024-08-22:20:33:02,656 WARNING  [GPTQ.py:706] warning: layers.1.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6576120Z 2024-08-22:20:33:02,657 INFO     [GPTQ.py:693] linear: layers.1.attention.wo, in=288, out=288
2024-08-22T20:33:02.6578034Z 2024-08-22:20:33:02,657 WARNING  [GPTQ.py:706] warning: layers.1.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6586537Z 2024-08-22:20:33:02,658 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w1, in=288, out=768
2024-08-22T20:33:02.6588198Z 2024-08-22:20:33:02,658 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6610387Z 2024-08-22:20:33:02,660 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w2, in=768, out=288
2024-08-22T20:33:02.6618282Z 2024-08-22:20:33:02,661 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w3, in=288, out=768
2024-08-22T20:33:02.6620487Z 2024-08-22:20:33:02,661 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6660138Z 2024-08-22:20:33:02,665 INFO     [GPTQ.py:693] linear: layers.2.attention.wq, in=288, out=288
2024-08-22T20:33:02.6661913Z 2024-08-22:20:33:02,665 WARNING  [GPTQ.py:706] warning: layers.2.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6674505Z 2024-08-22:20:33:02,667 INFO     [GPTQ.py:693] linear: layers.2.attention.wk, in=288, out=288
2024-08-22T20:33:02.6676374Z 2024-08-22:20:33:02,667 WARNING  [GPTQ.py:706] warning: layers.2.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6685367Z 2024-08-22:20:33:02,668 INFO     [GPTQ.py:693] linear: layers.2.attention.wv, in=288, out=288
2024-08-22T20:33:02.6687226Z 2024-08-22:20:33:02,668 WARNING  [GPTQ.py:706] warning: layers.2.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6699999Z 2024-08-22:20:33:02,669 INFO     [GPTQ.py:693] linear: layers.2.attention.wo, in=288, out=288
2024-08-22T20:33:02.6701845Z 2024-08-22:20:33:02,669 WARNING  [GPTQ.py:706] warning: layers.2.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6710341Z 2024-08-22:20:33:02,670 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w1, in=288, out=768
2024-08-22T20:33:02.6712362Z 2024-08-22:20:33:02,670 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6747823Z 2024-08-22:20:33:02,674 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w2, in=768, out=288
2024-08-22T20:33:02.6758458Z 2024-08-22:20:33:02,675 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w3, in=288, out=768
2024-08-22T20:33:02.6760297Z 2024-08-22:20:33:02,675 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6789888Z 2024-08-22:20:33:02,678 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
2024-08-22T20:33:02.6794633Z 2024-08-22:20:33:02,679 WARNING  [GPTQ.py:706] warning: layers.3.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6807825Z 2024-08-22:20:33:02,680 INFO     [GPTQ.py:693] linear: layers.3.attention.wk, in=288, out=288
2024-08-22T20:33:02.6809621Z 2024-08-22:20:33:02,680 WARNING  [GPTQ.py:706] warning: layers.3.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6818211Z 2024-08-22:20:33:02,681 INFO     [GPTQ.py:693] linear: layers.3.attention.wv, in=288, out=288
2024-08-22T20:33:02.6820036Z 2024-08-22:20:33:02,681 WARNING  [GPTQ.py:706] warning: layers.3.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6828623Z 2024-08-22:20:33:02,682 INFO     [GPTQ.py:693] linear: layers.3.attention.wo, in=288, out=288
2024-08-22T20:33:02.6830513Z 2024-08-22:20:33:02,682 WARNING  [GPTQ.py:706] warning: layers.3.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6838703Z 2024-08-22:20:33:02,683 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:33:02.6840685Z 2024-08-22:20:33:02,683 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6876171Z 2024-08-22:20:33:02,687 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:33:02.6888461Z 2024-08-22:20:33:02,688 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w3, in=288, out=768
2024-08-22T20:33:02.6890497Z 2024-08-22:20:33:02,688 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6922247Z 2024-08-22:20:33:02,691 INFO     [GPTQ.py:693] linear: layers.4.attention.wq, in=288, out=288
2024-08-22T20:33:02.6924044Z 2024-08-22:20:33:02,692 WARNING  [GPTQ.py:706] warning: layers.4.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6932055Z 2024-08-22:20:33:02,693 INFO     [GPTQ.py:693] linear: layers.4.attention.wk, in=288, out=288
2024-08-22T20:33:02.6933871Z 2024-08-22:20:33:02,693 WARNING  [GPTQ.py:706] warning: layers.4.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6942188Z 2024-08-22:20:33:02,694 INFO     [GPTQ.py:693] linear: layers.4.attention.wv, in=288, out=288
2024-08-22T20:33:02.6944016Z 2024-08-22:20:33:02,694 WARNING  [GPTQ.py:706] warning: layers.4.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6951896Z 2024-08-22:20:33:02,695 INFO     [GPTQ.py:693] linear: layers.4.attention.wo, in=288, out=288
2024-08-22T20:33:02.6953720Z 2024-08-22:20:33:02,695 WARNING  [GPTQ.py:706] warning: layers.4.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6962108Z 2024-08-22:20:33:02,696 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w1, in=288, out=768
2024-08-22T20:33:02.6964041Z 2024-08-22:20:33:02,696 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.6998313Z 2024-08-22:20:33:02,699 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w2, in=768, out=288
2024-08-22T20:33:02.7008703Z 2024-08-22:20:33:02,700 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w3, in=288, out=768
2024-08-22T20:33:02.7010599Z 2024-08-22:20:33:02,700 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7046791Z 2024-08-22:20:33:02,704 INFO     [GPTQ.py:693] linear: layers.5.attention.wq, in=288, out=288
2024-08-22T20:33:02.7048556Z 2024-08-22:20:33:02,704 WARNING  [GPTQ.py:706] warning: layers.5.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7060504Z 2024-08-22:20:33:02,705 INFO     [GPTQ.py:693] linear: layers.5.attention.wk, in=288, out=288
2024-08-22T20:33:02.7062317Z 2024-08-22:20:33:02,705 WARNING  [GPTQ.py:706] warning: layers.5.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7070604Z 2024-08-22:20:33:02,706 INFO     [GPTQ.py:693] linear: layers.5.attention.wv, in=288, out=288
2024-08-22T20:33:02.7072444Z 2024-08-22:20:33:02,706 WARNING  [GPTQ.py:706] warning: layers.5.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7081055Z 2024-08-22:20:33:02,707 INFO     [GPTQ.py:693] linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:33:02.7082850Z 2024-08-22:20:33:02,708 WARNING  [GPTQ.py:706] warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7090847Z 2024-08-22:20:33:02,708 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:33:02.7092768Z 2024-08-22:20:33:02,708 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7121885Z 2024-08-22:20:33:02,711 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:33:02.7128519Z 2024-08-22:20:33:02,712 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:33:02.7130529Z 2024-08-22:20:33:02,712 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:02.7161103Z 2024-08-22:20:33:02,715 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:33:02.7162832Z 2024-08-22:20:33:02,715 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:34.8905198Z 2024-08-22:20:33:34,890 INFO     [generate.py:846] 
2024-08-22T20:33:34.8906484Z Time for inference 1: 31.21 sec total, time to first token 0.21 sec with parallel prefill, 199 tokens, 6.38 tokens/sec, 156.81 ms/token
2024-08-22T20:33:34.8910544Z 2024-08-22:20:33:34,890 INFO     [generate.py:849] Bandwidth achieved: 0.48 GB/s
2024-08-22T20:33:34.8913311Z 2024-08-22:20:33:34,890 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:33:36.4017884Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:33:36.4018416Z Loading model...
2024-08-22T20:33:36.4018691Z Time to load model: 0.02 seconds
2024-08-22T20:33:36.4019288Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:33:36.4019823Z Time to quantize model: 0.19 seconds
2024-08-22T20:33:36.4020242Z -----------------------------------------------------------
2024-08-22T20:33:36.4021398Z Hello, my name is Gus. He has a big, red ball. He likes to play with it. One day, he sees a big, red ball in the park. He wants to play with it. He runs to the ball and kicks it hard.
2024-08-22T20:33:36.4023110Z "Hey, that's my ball!" a girl says. She is looking for her ball. She sees Gus and runs to him. She grabs the ball and throws it back to him.
2024-08-22T20:33:36.4024308Z "Gus, give me my ball!" A boy says. He is holding the ball in his hand. He is happy. He likes to play with balls.
2024-08-22T20:33:36.4025676Z "Give me my ball!" A boy says. He is angry. He does not like to share. He kicks the ball hard. The ball flies in the air and hits a man. The man is not happy. He is angry.
2024-08-22T20:33:36.4027109Z "Hey, that's not nice!" a man says. He is thejust-in-time compilation time (incl run time): 3.1e+01 seconds
2024-08-22T20:33:36.4027710Z 
2024-08-22T20:33:36.4027813Z ========================================
2024-08-22T20:33:36.4028041Z 
2024-08-22T20:33:36.4028140Z Average tokens/sec: 6.38
2024-08-22T20:33:36.4028490Z Memory used: 0.00 GB
2024-08-22T20:33:36.4165945Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:33:36.4173863Z cat: write error: Broken pipe
2024-08-22T20:33:36.4180420Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:33:36.4183043Z ############### Run inference with torch.compile for dtype bfloat16 ###############
2024-08-22T20:33:36.4183514Z 
2024-08-22T20:33:36.4183647Z ******************************************
2024-08-22T20:33:36.4184199Z ************** non-quantized *************
2024-08-22T20:33:36.4184568Z ******************************************
2024-08-22T20:34:07.9940705Z 2024-08-22:20:34:07,993 INFO     [generate.py:846] 
2024-08-22T20:34:07.9942003Z Time for inference 1: 27.14 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 7.33 tokens/sec, 136.39 ms/token
2024-08-22T20:34:07.9945012Z 2024-08-22:20:34:07,993 INFO     [generate.py:849] Bandwidth achieved: 0.36 GB/s
2024-08-22T20:34:07.9946449Z 2024-08-22:20:34:07,993 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:34:09.4994251Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:34:09.4994741Z Loading model...
2024-08-22T20:34:09.4996879Z Time to load model: 0.03 seconds
2024-08-22T20:34:09.4998515Z -----------------------------------------------------------
2024-08-22T20:34:09.4999883Z Hello, my name is Linda. She is three years old and very excited. Linda walks to the park with her mother. She sees a big tree, a swing and a sandbox. She sees a dog and a cat playing in a meadow. She loves them!
2024-08-22T20:34:09.5001821Z Linda runs to the tree and starts to play. She smiles and smiles. She is having fun. She feels a different feeling on her skin. She sits and looks around. She sees a bird, a flower and a ball. She feels happy. She plays and sings.
2024-08-22T20:34:09.5003906Z Then she sees a dog. He is big and brown and has a long tail. He is sitting on a bench. He looks at Linda and wags his tail. He wants to play too. He runs to Linda and licks her hand. Linda giggles and shouts. She likes him. He likes her and her new friend.
2024-08-22T20:34:09.5005466Z Linda and the dog playjust-in-time compilation time (incl run time): 2.7e+01 seconds
2024-08-22T20:34:09.5005924Z 
2024-08-22T20:34:09.5006055Z ========================================
2024-08-22T20:34:09.5006294Z 
2024-08-22T20:34:09.5006445Z Average tokens/sec: 7.33
2024-08-22T20:34:09.5006763Z Memory used: 0.00 GB
2024-08-22T20:34:09.5141153Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:34:09.5146978Z cat: write error: Broken pipe
2024-08-22T20:34:09.5156158Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:34:09.5158605Z ******************************************
2024-08-22T20:34:09.5159248Z ******* Emb: channel-wise quantized ******
2024-08-22T20:34:09.5159630Z ******************************************
2024-08-22T20:34:15.8760093Z 2024-08-22:20:34:15,875 INFO     [generate.py:846] 
2024-08-22T20:34:15.8761334Z Time for inference 1: 2.79 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 71.41 tokens/sec, 14.00 ms/token
2024-08-22T20:34:15.8762465Z 2024-08-22:20:34:15,875 INFO     [generate.py:849] Bandwidth achieved: 2.83 GB/s
2024-08-22T20:34:15.8763628Z 2024-08-22:20:34:15,875 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:34:16.5607915Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:34:16.5608427Z Loading model...
2024-08-22T20:34:16.5608728Z Time to load model: 0.03 seconds
2024-08-22T20:34:16.5611344Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:34:16.5612372Z Time to quantize model: 0.02 seconds
2024-08-22T20:34:16.5613160Z -----------------------------------------------------------
2024-08-22T20:34:16.5614698Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:34:16.5616419Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:34:16.5618276Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:34:16.5619938Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-08-22T20:34:16.5621136Z ========================================
2024-08-22T20:34:16.5621379Z 
2024-08-22T20:34:16.5621490Z Average tokens/sec: 71.41
2024-08-22T20:34:16.5621790Z Memory used: 0.00 GB
2024-08-22T20:34:16.5755933Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:34:16.5766080Z cat: write error: Broken pipe
2024-08-22T20:34:16.5771952Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:34:47.4484629Z 2024-08-22:20:34:47,448 INFO     [generate.py:846] 
2024-08-22T20:34:47.4486814Z Time for inference 1: 26.23 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 7.59 tokens/sec, 131.82 ms/token
2024-08-22T20:34:47.4488881Z 2024-08-22:20:34:47,448 INFO     [generate.py:849] Bandwidth achieved: 0.30 GB/s
2024-08-22T20:34:47.4490688Z 2024-08-22:20:34:47,448 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:34:49.0807505Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:34:49.0807954Z Loading model...
2024-08-22T20:34:49.0811607Z Time to load model: 0.03 seconds
2024-08-22T20:34:49.0812429Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:34:49.0813077Z Time to quantize model: 0.02 seconds
2024-08-22T20:34:49.0813545Z -----------------------------------------------------------
2024-08-22T20:34:49.0814867Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:34:49.0817111Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:34:49.0820294Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved tojust-in-time compilation time (incl run time): 2.6e+01 seconds
2024-08-22T20:34:49.0822500Z 
2024-08-22T20:34:49.0822701Z ========================================
2024-08-22T20:34:49.0823114Z 
2024-08-22T20:34:49.0823282Z Average tokens/sec: 7.59
2024-08-22T20:34:49.0823783Z Memory used: 0.00 GB
2024-08-22T20:34:49.0959834Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:34:49.0967315Z cat: write error: Broken pipe
2024-08-22T20:34:49.0974063Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:34:49.0976436Z ******************************************
2024-08-22T20:34:49.0977139Z ******** Emb: group-wise quantized *******
2024-08-22T20:34:49.0977502Z ******************************************
2024-08-22T20:34:55.5120513Z 2024-08-22:20:34:55,511 INFO     [generate.py:846] 
2024-08-22T20:34:55.5121530Z Time for inference 1: 2.79 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 71.33 tokens/sec, 14.02 ms/token
2024-08-22T20:34:55.5122576Z 2024-08-22:20:34:55,511 INFO     [generate.py:849] Bandwidth achieved: 2.99 GB/s
2024-08-22T20:34:55.5123662Z 2024-08-22:20:34:55,511 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:34:56.2333461Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:34:56.2334136Z Loading model...
2024-08-22T20:34:56.2334444Z Time to load model: 0.03 seconds
2024-08-22T20:34:56.2335661Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:34:56.2336448Z Time to quantize model: 0.03 seconds
2024-08-22T20:34:56.2337186Z -----------------------------------------------------------
2024-08-22T20:34:56.2338752Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:34:56.2341960Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:34:56.2344305Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved to
2024-08-22T20:34:56.2345820Z ========================================
2024-08-22T20:34:56.2346063Z 
2024-08-22T20:34:56.2346180Z Average tokens/sec: 71.33
2024-08-22T20:34:56.2346475Z Memory used: 0.00 GB
2024-08-22T20:34:56.2482658Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:34:56.2493304Z cat: write error: Broken pipe
2024-08-22T20:34:56.2497131Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:35:26.0160718Z 2024-08-22:20:35:26,015 INFO     [generate.py:846] 
2024-08-22T20:35:26.0162018Z Time for inference 1: 25.26 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 7.88 tokens/sec, 126.95 ms/token
2024-08-22T20:35:26.0165926Z 2024-08-22:20:35:26,015 INFO     [generate.py:849] Bandwidth achieved: 0.33 GB/s
2024-08-22T20:35:26.0169840Z 2024-08-22:20:35:26,015 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:35:27.4630064Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:35:27.4630813Z Loading model...
2024-08-22T20:35:27.4631176Z Time to load model: 0.03 seconds
2024-08-22T20:35:27.4631857Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:35:27.4632462Z Time to quantize model: 0.03 seconds
2024-08-22T20:35:27.4632985Z -----------------------------------------------------------
2024-08-22T20:35:27.4633760Z Hello, my name is Daisy. Daisy is very popular. Everyone likes Daisy. She is very friendly and kind.
2024-08-22T20:35:27.4635942Z One day, Daisy's mommy says, "Daisy, it's time to go to the park." Daisy says, "No, I don't want to go. I want to stay here and play." Daisy's mommy says, "But Daisy, it's time to go. We have to go to the park." Daisy says, "No, I don't want to go. I want to stay here."
2024-08-22T20:35:27.4638895Z Daisy's mommy says, "Daisy, you have to go. It's time to go to the park. You can play with your friends after we go." Daisy says, "No, I don't want to go. I want to stay here." Daisy's mommyjust-in-time compilation time (incl run time): 2.5e+01 seconds
2024-08-22T20:35:27.4640167Z 
2024-08-22T20:35:27.4640276Z ========================================
2024-08-22T20:35:27.4640520Z 
2024-08-22T20:35:27.4640636Z Average tokens/sec: 7.88
2024-08-22T20:35:27.4640925Z Memory used: 0.00 GB
2024-08-22T20:35:27.4777988Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:35:27.4785910Z cat: write error: Broken pipe
2024-08-22T20:35:27.4792313Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:35:27.4794510Z ***********************************************
2024-08-22T20:35:27.4795400Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:35:27.4795786Z ***********************************************
2024-08-22T20:35:34.7296981Z 2024-08-22:20:35:34,729 INFO     [generate.py:846] 
2024-08-22T20:35:34.7297998Z Time for inference 1: 3.75 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 53.01 tokens/sec, 18.86 ms/token
2024-08-22T20:35:34.7299462Z 2024-08-22:20:35:34,729 INFO     [generate.py:849] Bandwidth achieved: 1.86 GB/s
2024-08-22T20:35:34.7300503Z 2024-08-22:20:35:34,729 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:35:35.3987270Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:35:35.3987948Z Loading model...
2024-08-22T20:35:35.3988279Z Time to load model: 0.03 seconds
2024-08-22T20:35:35.3989429Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:35:35.3990774Z Time to quantize model: 0.03 seconds
2024-08-22T20:35:35.3991770Z -----------------------------------------------------------
2024-08-22T20:35:35.3993757Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:35:35.3995250Z Suddenly, he heard a voice. "Hey, what are you doing?" It was a little girl.
2024-08-22T20:35:35.3996041Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:35:35.3997452Z The little girl said, "No, it's too high. You can't climb it."
2024-08-22T20:35:35.3998535Z Jack was sad and he started to cry. He wanted to see what was up there. He kept trying to climb the tree, but he couldn't.
2024-08-22T20:35:35.3999494Z Then, he heard a voice. It was his mom. She said, "Jack, why are you so sad?"
2024-08-22T20:35:35.4000265Z Jack said, "I wanted to see what was up there, but I couldn't climb it
2024-08-22T20:35:35.4000717Z ========================================
2024-08-22T20:35:35.4000940Z 
2024-08-22T20:35:35.4001041Z Average tokens/sec: 53.01
2024-08-22T20:35:35.4001405Z Memory used: 0.00 GB
2024-08-22T20:35:35.4135074Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:35:35.4141183Z cat: write error: Broken pipe
2024-08-22T20:35:35.4149175Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:36:05.5544747Z 2024-08-22:20:36:05,554 INFO     [generate.py:846] 
2024-08-22T20:36:05.5546054Z Time for inference 1: 25.64 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 7.76 tokens/sec, 128.86 ms/token
2024-08-22T20:36:05.5557964Z 2024-08-22:20:36:05,554 INFO     [generate.py:849] Bandwidth achieved: 0.27 GB/s
2024-08-22T20:36:05.5559738Z 2024-08-22:20:36:05,554 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:36:06.9983082Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:36:06.9983667Z Loading model...
2024-08-22T20:36:06.9987760Z Time to load model: 0.03 seconds
2024-08-22T20:36:06.9988968Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:36:06.9989624Z Time to quantize model: 0.03 seconds
2024-08-22T20:36:06.9990048Z -----------------------------------------------------------
2024-08-22T20:36:06.9991542Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, shiny box. He was curious and he wanted to know what was inside. He opened the box and found a big, red ball. He was so excited and he wanted to play with it.
2024-08-22T20:36:06.9992997Z He asked his mom, "Mom, can I play with this ball?"
2024-08-22T20:36:06.9993543Z His mom said, "Yes, but be careful. Don't be too rough with it."
2024-08-22T20:36:06.9994307Z Jack was so happy and he started to play with the ball. He rolled it around and around and he was having so much fun.
2024-08-22T20:36:06.9995336Z Suddenly, he heard a loud noise. He looked up and saw a big, scary dog running towards him. He was so scared that he started to cry.
2024-08-22T20:36:06.9996780Z His mom said, "Don't worry, Jack. I'll protect you." She picked him up andjust-in-time compilation time (incl run time): 2.6e+01 seconds
2024-08-22T20:36:06.9997760Z 
2024-08-22T20:36:06.9997873Z ========================================
2024-08-22T20:36:06.9998098Z 
2024-08-22T20:36:06.9998203Z Average tokens/sec: 7.76
2024-08-22T20:36:06.9998492Z Memory used: 0.00 GB
2024-08-22T20:36:07.0131147Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:36:07.0137598Z cat: write error: Broken pipe
2024-08-22T20:36:07.0145392Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:36:07.0147418Z ***********************************************
2024-08-22T20:36:07.0148125Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:36:07.0148517Z ***********************************************
2024-08-22T20:36:14.3135876Z 2024-08-22:20:36:14,313 INFO     [generate.py:846] 
2024-08-22T20:36:14.3136729Z Time for inference 1: 3.74 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 53.23 tokens/sec, 18.79 ms/token
2024-08-22T20:36:14.3137699Z 2024-08-22:20:36:14,313 INFO     [generate.py:849] Bandwidth achieved: 1.99 GB/s
2024-08-22T20:36:14.3139237Z 2024-08-22:20:36:14,313 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:36:14.9910727Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:36:14.9911431Z Loading model...
2024-08-22T20:36:14.9911877Z Time to load model: 0.03 seconds
2024-08-22T20:36:14.9912884Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:36:14.9913602Z Time to quantize model: 0.03 seconds
2024-08-22T20:36:14.9914215Z -----------------------------------------------------------
2024-08-22T20:36:14.9914828Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:36:14.9916031Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited! She ran to the store and saw a big, shiny toy. She wanted it so badly.
2024-08-22T20:36:14.9917615Z Daisy asked her mommy, "Can I have it?" Her mommy said, "No, Daisy. It's too expensive." Daisy was sad.
2024-08-22T20:36:14.9918811Z Daisy's mommy said, "It's okay, Daisy. We can get it another day." Daisy was still sad but she knew her mommy was right.
2024-08-22T20:36:14.9920069Z Daisy and her mommy went home. Daisy was still sad but she knew that she would get a new toy soon. Once upon a time, there was a little
2024-08-22T20:36:14.9920890Z ========================================
2024-08-22T20:36:14.9921183Z 
2024-08-22T20:36:14.9921337Z Average tokens/sec: 53.23
2024-08-22T20:36:14.9921607Z Memory used: 0.00 GB
2024-08-22T20:36:15.0056482Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:36:15.0062795Z cat: write error: Broken pipe
2024-08-22T20:36:15.0073215Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:36:45.3159325Z 2024-08-22:20:36:45,315 INFO     [generate.py:846] 
2024-08-22T20:36:45.3161110Z Time for inference 1: 25.91 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 7.68 tokens/sec, 130.20 ms/token
2024-08-22T20:36:45.3165778Z 2024-08-22:20:36:45,315 INFO     [generate.py:849] Bandwidth achieved: 0.29 GB/s
2024-08-22T20:36:45.3168105Z 2024-08-22:20:36:45,315 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:36:46.8708526Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:36:46.8709278Z Loading model...
2024-08-22T20:36:46.8709722Z Time to load model: 0.03 seconds
2024-08-22T20:36:46.8710854Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:36:46.8711515Z Time to quantize model: 0.03 seconds
2024-08-22T20:36:46.8711971Z -----------------------------------------------------------
2024-08-22T20:36:46.8712623Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:36:46.8715982Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited! She ran to the car and said, "Mommy, can I go to the store?"
2024-08-22T20:36:46.8718617Z Mommy said, "Yes, Daisy. You can go to the store." Daisy was so happy. She ran to the store and got lots of toys.
2024-08-22T20:36:46.8719676Z When Daisy got home, she was so excited. She ran to her room and started playing with her toys. She was so happy.
2024-08-22T20:36:46.8720637Z Daisy's mommy said, "Daisy, it's time to go to the store." Daisy said, "Okay, mommy."
2024-08-22T20:36:46.8721939Z Daisy and her mommy went to the store together. Djust-in-time compilation time (incl run time): 2.6e+01 seconds
2024-08-22T20:36:46.8723069Z 
2024-08-22T20:36:46.8723215Z ========================================
2024-08-22T20:36:46.8723465Z 
2024-08-22T20:36:46.8723579Z Average tokens/sec: 7.68
2024-08-22T20:36:46.8723861Z Memory used: 0.00 GB
2024-08-22T20:36:46.8854959Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:36:46.8861642Z cat: write error: Broken pipe
2024-08-22T20:36:46.8871659Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:36:46.8872694Z ******************************************
2024-08-22T20:36:46.8873804Z ******* INT8 channel-wise quantized ******
2024-08-22T20:36:46.8874216Z ******************************************
2024-08-22T20:36:51.5123688Z 2024-08-22:20:36:51,512 INFO     [generate.py:846] 
2024-08-22T20:36:51.5124993Z Time for inference 1: 0.99 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 201.72 tokens/sec, 4.96 ms/token
2024-08-22T20:36:51.5126488Z 2024-08-22:20:36:51,512 INFO     [generate.py:849] Bandwidth achieved: 6.80 GB/s
2024-08-22T20:36:51.5128098Z 2024-08-22:20:36:51,512 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:36:52.2108405Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:36:52.2109006Z Loading model...
2024-08-22T20:36:52.2109324Z Time to load model: 0.03 seconds
2024-08-22T20:36:52.2109967Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:36:52.2110523Z Time to quantize model: 0.04 seconds
2024-08-22T20:36:52.2111066Z -----------------------------------------------------------
2024-08-22T20:36:52.2112719Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:36:52.2114980Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:36:52.2117211Z Daisy sees a boy. The boy is sad. He has no toys. He has no friends. Daisy wants to help. She goes to the boy. She says, "Hi, I am Daisy. Do you want to play with me?" The boy smiles. He says, "Yes, I do. I am Sam."
2024-08-22T20:36:52.2118407Z Daisy and Sam play on the slide
2024-08-22T20:36:52.2118712Z ========================================
2024-08-22T20:36:52.2118940Z 
2024-08-22T20:36:52.2119042Z Average tokens/sec: 201.72
2024-08-22T20:36:52.2119323Z Memory used: 0.00 GB
2024-08-22T20:36:52.2256754Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:36:52.2263823Z cat: write error: Broken pipe
2024-08-22T20:36:52.2271135Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:37:27.1702861Z 2024-08-22:20:37:27,169 INFO     [generate.py:846] 
2024-08-22T20:37:27.1704141Z Time for inference 1: 30.47 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 6.53 tokens/sec, 153.13 ms/token
2024-08-22T20:37:27.1705629Z 2024-08-22:20:37:27,170 INFO     [generate.py:849] Bandwidth achieved: 0.22 GB/s
2024-08-22T20:37:27.1707669Z 2024-08-22:20:37:27,170 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:37:28.8158052Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:37:28.8159176Z Loading model...
2024-08-22T20:37:28.8159765Z Time to load model: 0.03 seconds
2024-08-22T20:37:28.8160894Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:37:28.8161867Z Time to quantize model: 0.04 seconds
2024-08-22T20:37:28.8162821Z -----------------------------------------------------------
2024-08-22T20:37:28.8164348Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:37:28.8167798Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:37:28.8170009Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy catches the ball. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:37:28.8172179Z Daisy and the boy become friends. They play on the slide every day. They are happyjust-in-time compilation time (incl run time): 3e+01 seconds
2024-08-22T20:37:28.8172976Z 
2024-08-22T20:37:28.8173082Z ========================================
2024-08-22T20:37:28.8173332Z 
2024-08-22T20:37:28.8173441Z Average tokens/sec: 6.53
2024-08-22T20:37:28.8173741Z Memory used: 0.00 GB
2024-08-22T20:37:28.8304113Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:37:28.8310875Z cat: write error: Broken pipe
2024-08-22T20:37:28.8319556Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:37:28.8321609Z ******************************************
2024-08-22T20:37:28.8322173Z ******** INT8 group-wise quantized *******
2024-08-22T20:37:28.8322507Z ******************************************
2024-08-22T20:37:37.9879799Z 2024-08-22:20:37:37,987 INFO     [generate.py:846] 
2024-08-22T20:37:37.9881079Z Time for inference 1: 5.47 sec total, time to first token 0.08 sec with parallel prefill, 199 tokens, 36.40 tokens/sec, 27.47 ms/token
2024-08-22T20:37:37.9882710Z 2024-08-22:20:37:37,987 INFO     [generate.py:849] Bandwidth achieved: 1.36 GB/s
2024-08-22T20:37:37.9884466Z 2024-08-22:20:37:37,987 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:37:38.6749044Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:37:38.6749752Z Loading model...
2024-08-22T20:37:38.6750214Z Time to load model: 0.03 seconds
2024-08-22T20:37:38.6751151Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:37:38.6751988Z Time to quantize model: 0.05 seconds
2024-08-22T20:37:38.6752439Z -----------------------------------------------------------
2024-08-22T20:37:38.6753591Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:37:38.6755312Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:37:38.6757421Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to Daisy. Daisy runs to the ball and catches it. She throws it back to the boy. He catches it and throws it back. They play together.
2024-08-22T20:37:38.6759042Z Daisy and the boy have fun. They laugh and shout. They are happy. Daisy is popular. She is her friend. Once upon a time, there was
2024-08-22T20:37:38.6759846Z ========================================
2024-08-22T20:37:38.6760092Z 
2024-08-22T20:37:38.6760201Z Average tokens/sec: 36.40
2024-08-22T20:37:38.6760500Z Memory used: 0.00 GB
2024-08-22T20:37:38.6896278Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:37:38.6901768Z cat: write error: Broken pipe
2024-08-22T20:37:38.6909828Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:14.5319450Z 2024-08-22:20:38:14,531 INFO     [generate.py:846] 
2024-08-22T20:38:14.5321214Z Time for inference 1: 31.40 sec total, time to first token 0.08 sec with parallel prefill, 199 tokens, 6.34 tokens/sec, 157.77 ms/token
2024-08-22T20:38:14.5323214Z 2024-08-22:20:38:14,531 INFO     [generate.py:849] Bandwidth achieved: 0.24 GB/s
2024-08-22T20:38:14.5325301Z 2024-08-22:20:38:14,531 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:38:16.0925450Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:38:16.0925948Z Loading model...
2024-08-22T20:38:16.0926221Z Time to load model: 0.03 seconds
2024-08-22T20:38:16.0926793Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:38:16.0929730Z Time to quantize model: 0.05 seconds
2024-08-22T20:38:16.0930485Z -----------------------------------------------------------
2024-08-22T20:38:16.0932409Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:38:16.0934089Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:38:16.0935782Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:38:16.0937072Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:38:16.0938085Z Daisy says, "I wantjust-in-time compilation time (incl run time): 3.1e+01 seconds
2024-08-22T20:38:16.0938520Z 
2024-08-22T20:38:16.0938619Z ========================================
2024-08-22T20:38:16.0938867Z 
2024-08-22T20:38:16.0938970Z Average tokens/sec: 6.34
2024-08-22T20:38:16.0939252Z Memory used: 0.00 GB
2024-08-22T20:38:16.1071101Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:38:16.1081283Z cat: write error: Broken pipe
2024-08-22T20:38:16.1087861Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:16.1089834Z ******************************************
2024-08-22T20:38:16.1090435Z ******** INT4 group-wise quantized *******
2024-08-22T20:38:16.1090846Z ******************************************
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2024-08-22T20:38:19.6557101Z 2024-08-22:20:38:19,655 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
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2024-08-22T20:38:21.0103804Z 2024-08-22:20:38:21,010 INFO     [generate.py:846] 
2024-08-22T20:38:21.0105093Z Time for inference 1: 1.25 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 159.26 tokens/sec, 6.28 ms/token
2024-08-22T20:38:21.0106569Z 2024-08-22:20:38:21,010 INFO     [generate.py:849] Bandwidth achieved: 7.97 GB/s
2024-08-22T20:38:21.0108164Z 2024-08-22:20:38:21,010 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:38:21.6564142Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:38:21.6564818Z Loading model...
2024-08-22T20:38:21.6565119Z Time to load model: 0.03 seconds
2024-08-22T20:38:21.6565664Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:38:21.6566153Z Time to quantize model: 0.18 seconds
2024-08-22T20:38:21.6566608Z -----------------------------------------------------------
2024-08-22T20:38:21.6567981Z Hello, my name is Gus. He has a big, red mustache. He loves to play with his friends. One day, Gus's friends wanted to play a game. They asked Gus to join in, but he said no. He said he was too busy playing.
2024-08-22T20:38:21.6569680Z His friends were sad and didn't know what to do. They decided to play a different game instead. They played hide and seek and had lots of fun.
2024-08-22T20:38:21.6572079Z After the game, Gus's friends said, "Wow, Gus! You're so good at this game. You're a reliable friend." Gus smiled and said, "Thanks, friends. I like to play games too." Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she went on a walk with her mommy and daddy. They walked and walked until they came to a big field. 
2024-08-22T20:38:21.6573871Z ========================================
2024-08-22T20:38:21.6574091Z 
2024-08-22T20:38:21.6574191Z Average tokens/sec: 159.26
2024-08-22T20:38:21.6574471Z Memory used: 0.00 GB
2024-08-22T20:38:21.6709361Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:38:21.6715645Z cat: write error: Broken pipe
2024-08-22T20:38:21.6724168Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:25.2410660Z 2024-08-22:20:38:25,240 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
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2024-08-22T20:38:25.2618728Z 2024-08-22:20:38:25,261 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2648340Z 2024-08-22:20:38:25,264 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w2, in=768, out=288
2024-08-22T20:38:25.2663312Z 2024-08-22:20:38:25,266 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w3, in=288, out=768
2024-08-22T20:38:25.2664938Z 2024-08-22:20:38:25,266 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2697337Z 2024-08-22:20:38:25,269 INFO     [GPTQ.py:693] linear: layers.2.attention.wq, in=288, out=288
2024-08-22T20:38:25.2698871Z 2024-08-22:20:38:25,269 WARNING  [GPTQ.py:706] warning: layers.2.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2717390Z 2024-08-22:20:38:25,271 INFO     [GPTQ.py:693] linear: layers.2.attention.wk, in=288, out=288
2024-08-22T20:38:25.2718865Z 2024-08-22:20:38:25,271 WARNING  [GPTQ.py:706] warning: layers.2.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2730344Z 2024-08-22:20:38:25,272 INFO     [GPTQ.py:693] linear: layers.2.attention.wv, in=288, out=288
2024-08-22T20:38:25.2731838Z 2024-08-22:20:38:25,272 WARNING  [GPTQ.py:706] warning: layers.2.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2742932Z 2024-08-22:20:38:25,274 INFO     [GPTQ.py:693] linear: layers.2.attention.wo, in=288, out=288
2024-08-22T20:38:25.2744415Z 2024-08-22:20:38:25,274 WARNING  [GPTQ.py:706] warning: layers.2.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2755859Z 2024-08-22:20:38:25,275 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w1, in=288, out=768
2024-08-22T20:38:25.2757706Z 2024-08-22:20:38:25,275 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2788826Z 2024-08-22:20:38:25,278 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w2, in=768, out=288
2024-08-22T20:38:25.2804677Z 2024-08-22:20:38:25,280 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w3, in=288, out=768
2024-08-22T20:38:25.2806303Z 2024-08-22:20:38:25,280 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2837283Z 2024-08-22:20:38:25,283 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
2024-08-22T20:38:25.2838787Z 2024-08-22:20:38:25,283 WARNING  [GPTQ.py:706] warning: layers.3.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2858667Z 2024-08-22:20:38:25,285 INFO     [GPTQ.py:693] linear: layers.3.attention.wk, in=288, out=288
2024-08-22T20:38:25.2860627Z 2024-08-22:20:38:25,285 WARNING  [GPTQ.py:706] warning: layers.3.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2870881Z 2024-08-22:20:38:25,286 INFO     [GPTQ.py:693] linear: layers.3.attention.wv, in=288, out=288
2024-08-22T20:38:25.2872369Z 2024-08-22:20:38:25,287 WARNING  [GPTQ.py:706] warning: layers.3.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2883161Z 2024-08-22:20:38:25,288 INFO     [GPTQ.py:693] linear: layers.3.attention.wo, in=288, out=288
2024-08-22T20:38:25.2884671Z 2024-08-22:20:38:25,288 WARNING  [GPTQ.py:706] warning: layers.3.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2895304Z 2024-08-22:20:38:25,289 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:38:25.2896855Z 2024-08-22:20:38:25,289 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2927982Z 2024-08-22:20:38:25,292 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:38:25.2943461Z 2024-08-22:20:38:25,294 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w3, in=288, out=768
2024-08-22T20:38:25.2945073Z 2024-08-22:20:38:25,294 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2975971Z 2024-08-22:20:38:25,297 INFO     [GPTQ.py:693] linear: layers.4.attention.wq, in=288, out=288
2024-08-22T20:38:25.2981956Z 2024-08-22:20:38:25,298 WARNING  [GPTQ.py:706] warning: layers.4.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.2997087Z 2024-08-22:20:38:25,299 INFO     [GPTQ.py:693] linear: layers.4.attention.wk, in=288, out=288
2024-08-22T20:38:25.2998585Z 2024-08-22:20:38:25,299 WARNING  [GPTQ.py:706] warning: layers.4.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3009266Z 2024-08-22:20:38:25,300 INFO     [GPTQ.py:693] linear: layers.4.attention.wv, in=288, out=288
2024-08-22T20:38:25.3010823Z 2024-08-22:20:38:25,300 WARNING  [GPTQ.py:706] warning: layers.4.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3020996Z 2024-08-22:20:38:25,301 INFO     [GPTQ.py:693] linear: layers.4.attention.wo, in=288, out=288
2024-08-22T20:38:25.3022492Z 2024-08-22:20:38:25,302 WARNING  [GPTQ.py:706] warning: layers.4.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3032742Z 2024-08-22:20:38:25,303 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w1, in=288, out=768
2024-08-22T20:38:25.3034274Z 2024-08-22:20:38:25,303 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3063022Z 2024-08-22:20:38:25,306 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w2, in=768, out=288
2024-08-22T20:38:25.3071961Z 2024-08-22:20:38:25,307 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w3, in=288, out=768
2024-08-22T20:38:25.3074249Z 2024-08-22:20:38:25,307 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3102706Z 2024-08-22:20:38:25,310 INFO     [GPTQ.py:693] linear: layers.5.attention.wq, in=288, out=288
2024-08-22T20:38:25.3109641Z 2024-08-22:20:38:25,310 WARNING  [GPTQ.py:706] warning: layers.5.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3124344Z 2024-08-22:20:38:25,312 INFO     [GPTQ.py:693] linear: layers.5.attention.wk, in=288, out=288
2024-08-22T20:38:25.3126014Z 2024-08-22:20:38:25,312 WARNING  [GPTQ.py:706] warning: layers.5.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3136542Z 2024-08-22:20:38:25,313 INFO     [GPTQ.py:693] linear: layers.5.attention.wv, in=288, out=288
2024-08-22T20:38:25.3138216Z 2024-08-22:20:38:25,313 WARNING  [GPTQ.py:706] warning: layers.5.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3148820Z 2024-08-22:20:38:25,314 INFO     [GPTQ.py:693] linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:38:25.3150953Z 2024-08-22:20:38:25,314 WARNING  [GPTQ.py:706] warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3164611Z 2024-08-22:20:38:25,316 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:38:25.3166414Z 2024-08-22:20:38:25,316 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3197993Z 2024-08-22:20:38:25,319 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:38:25.3212210Z 2024-08-22:20:38:25,321 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:38:25.3213857Z 2024-08-22:20:38:25,321 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:25.3245633Z 2024-08-22:20:38:25,324 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:38:25.3252230Z 2024-08-22:20:38:25,325 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:52.8848830Z 2024-08-22:20:38:52,884 INFO     [generate.py:846] 
2024-08-22T20:38:52.8850099Z Time for inference 1: 26.54 sec total, time to first token 0.01 sec with parallel prefill, 199 tokens, 7.50 tokens/sec, 133.38 ms/token
2024-08-22T20:38:52.8851533Z 2024-08-22:20:38:52,884 INFO     [generate.py:849] Bandwidth achieved: 0.38 GB/s
2024-08-22T20:38:52.8857597Z 2024-08-22:20:38:52,884 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:38:54.4619385Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:38:54.4620196Z Loading model...
2024-08-22T20:38:54.4620782Z Time to load model: 0.03 seconds
2024-08-22T20:38:54.4621717Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:38:54.4622427Z Time to quantize model: 0.19 seconds
2024-08-22T20:38:54.4623136Z -----------------------------------------------------------
2024-08-22T20:38:54.4626092Z Hello, my name is Gus. He has a big, red ball. He loves to play with it. One day, Gus's ball rolled into the street. He saw a car coming and he knew he had to stop. He ran after the car and tried to stop it, but he was too late. The car hit him and he fell down. Gus was hurt and he couldn't move.
2024-08-22T20:38:54.4630744Z Gus's mom came outside and saw him lying on the ground. She called for help, but it was too late. Gus had passed away. His mom was very sad and she missed him very much. She knew that Gus was a very important boy and that he had a lot of value. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she went on a walk with her mommy and daddy. They walked and walked until they came to a big fieldjust-in-time compilation time (incl run time): 2.7e+01 seconds
2024-08-22T20:38:54.4633659Z 
2024-08-22T20:38:54.4633774Z ========================================
2024-08-22T20:38:54.4634020Z 
2024-08-22T20:38:54.4634133Z Average tokens/sec: 7.50
2024-08-22T20:38:54.4634434Z Memory used: 0.00 GB
2024-08-22T20:38:54.4766343Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:38:54.4773321Z cat: write error: Broken pipe
2024-08-22T20:38:54.4781385Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:54.4784161Z ############### Run inference with torch.compile for dtype float16 ###############
2024-08-22T20:38:54.4784800Z 
2024-08-22T20:38:54.4784965Z ******************************************
2024-08-22T20:38:54.4785737Z ************** non-quantized *************
2024-08-22T20:38:54.4786241Z ******************************************
2024-08-22T20:39:25.7332179Z 2024-08-22:20:39:25,732 INFO     [generate.py:846] 
2024-08-22T20:39:25.7333912Z Time for inference 1: 26.73 sec total, time to first token 0.05 sec with parallel prefill, 199 tokens, 7.45 tokens/sec, 134.30 ms/token
2024-08-22T20:39:25.7336107Z 2024-08-22:20:39:25,732 INFO     [generate.py:849] Bandwidth achieved: 0.36 GB/s
2024-08-22T20:39:25.7340583Z 2024-08-22:20:39:25,733 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:39:27.2240869Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:39:27.2241390Z Loading model...
2024-08-22T20:39:27.2241664Z Time to load model: 0.03 seconds
2024-08-22T20:39:27.2244153Z -----------------------------------------------------------
2024-08-22T20:39:27.2245338Z Hello, my name is Lucy. She has a special leather bag. In the bag was a small map. She wanted to go out and explore the world.
2024-08-22T20:39:27.2246862Z One day, Lucy went out to explore. She called out to her best friend, Toby. "Toby, will you come with me? I want to take this map and explore the world!"
2024-08-22T20:39:27.2247986Z Toby said, "Yes, Lucy! I'm so excited! Let's go on a journey!"
2024-08-22T20:39:27.2249324Z So, Toby and Lucy took the map together. They looked at it by the flowers, trees, and by the pond. They saw many things, but no big trees. 
2024-08-22T20:39:27.2250802Z When they arrived at the end of the journey they were surprised to find a small pond. But even though they were happy to find the world, they had had a lot of fun exploring. 
2024-08-22T20:39:27.2252304Z They decided to stay in the pond and keep the map safe for a few days. The moral of the storyjust-in-time compilation time (incl run time): 2.7e+01 seconds
2024-08-22T20:39:27.2253005Z 
2024-08-22T20:39:27.2253110Z ========================================
2024-08-22T20:39:27.2253322Z 
2024-08-22T20:39:27.2253427Z Average tokens/sec: 7.45
2024-08-22T20:39:27.2253685Z Memory used: 0.00 GB
2024-08-22T20:39:27.2385969Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:27.2393349Z cat: write error: Broken pipe
2024-08-22T20:39:27.2402638Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:39:27.2404879Z ******************************************
2024-08-22T20:39:27.2405605Z ******* Emb: channel-wise quantized ******
2024-08-22T20:39:27.2406077Z ******************************************
2024-08-22T20:39:33.3828808Z 2024-08-22:20:39:33,382 INFO     [generate.py:846] 
2024-08-22T20:39:33.3830095Z Time for inference 1: 2.48 sec total, time to first token 0.05 sec with parallel prefill, 199 tokens, 80.14 tokens/sec, 12.48 ms/token
2024-08-22T20:39:33.3831577Z 2024-08-22:20:39:33,382 INFO     [generate.py:849] Bandwidth achieved: 3.18 GB/s
2024-08-22T20:39:33.3833178Z 2024-08-22:20:39:33,382 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:33.9946218Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:39:33.9946982Z Loading model...
2024-08-22T20:39:33.9947319Z Time to load model: 0.03 seconds
2024-08-22T20:39:33.9948274Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:39:33.9949844Z Time to quantize model: 0.03 seconds
2024-08-22T20:39:33.9950721Z -----------------------------------------------------------
2024-08-22T20:39:33.9952691Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:39:33.9954498Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:39:33.9956290Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:39:33.9957791Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:39:33.9958454Z Daisy says, "I want
2024-08-22T20:39:33.9958715Z ========================================
2024-08-22T20:39:33.9958928Z 
2024-08-22T20:39:33.9959034Z Average tokens/sec: 80.14
2024-08-22T20:39:33.9959298Z Memory used: 0.00 GB
2024-08-22T20:39:34.0092673Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:34.0098543Z cat: write error: Broken pipe
2024-08-22T20:39:34.0106371Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:03.8363359Z 2024-08-22:20:40:03,835 INFO     [generate.py:846] 
2024-08-22T20:40:03.8365457Z Time for inference 1: 25.44 sec total, time to first token 0.05 sec with parallel prefill, 199 tokens, 7.82 tokens/sec, 127.85 ms/token
2024-08-22T20:40:03.8367049Z 2024-08-22:20:40:03,836 INFO     [generate.py:849] Bandwidth achieved: 0.31 GB/s
2024-08-22T20:40:03.8368798Z 2024-08-22:20:40:03,836 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:40:05.3201807Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:05.3202684Z Loading model...
2024-08-22T20:40:05.3203222Z Time to load model: 0.03 seconds
2024-08-22T20:40:05.3206806Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:40:05.3207532Z Time to quantize model: 0.02 seconds
2024-08-22T20:40:05.3207987Z -----------------------------------------------------------
2024-08-22T20:40:05.3209074Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:40:05.3210682Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:40:05.3212254Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:40:05.3213567Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:40:05.3214553Z Daisy says, "I wantjust-in-time compilation time (incl run time): 2.5e+01 seconds
2024-08-22T20:40:05.3215004Z 
2024-08-22T20:40:05.3215103Z ========================================
2024-08-22T20:40:05.3215331Z 
2024-08-22T20:40:05.3215436Z Average tokens/sec: 7.82
2024-08-22T20:40:05.3215709Z Memory used: 0.00 GB
2024-08-22T20:40:05.3349099Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:05.3358253Z cat: write error: Broken pipe
2024-08-22T20:40:05.3363807Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:05.3365733Z ******************************************
2024-08-22T20:40:05.3366574Z ******** Emb: group-wise quantized *******
2024-08-22T20:40:05.3366984Z ******************************************
2024-08-22T20:40:11.3649053Z 2024-08-22:20:40:11,364 INFO     [generate.py:846] 
2024-08-22T20:40:11.3650856Z Time for inference 1: 2.51 sec total, time to first token 0.05 sec with parallel prefill, 199 tokens, 79.26 tokens/sec, 12.62 ms/token
2024-08-22T20:40:11.3652384Z 2024-08-22:20:40:11,364 INFO     [generate.py:849] Bandwidth achieved: 3.32 GB/s
2024-08-22T20:40:11.3653979Z 2024-08-22:20:40:11,364 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:40:12.0507790Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:12.0508519Z Loading model...
2024-08-22T20:40:12.0509106Z Time to load model: 0.03 seconds
2024-08-22T20:40:12.0510246Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:40:12.0510873Z Time to quantize model: 0.03 seconds
2024-08-22T20:40:12.0511378Z -----------------------------------------------------------
2024-08-22T20:40:12.0512996Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:40:12.0515430Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:40:12.0517248Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:40:12.0518722Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-08-22T20:40:12.0519823Z ========================================
2024-08-22T20:40:12.0520064Z 
2024-08-22T20:40:12.0520172Z Average tokens/sec: 79.26
2024-08-22T20:40:12.0520458Z Memory used: 0.00 GB
2024-08-22T20:40:12.0653140Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:12.0659842Z cat: write error: Broken pipe
2024-08-22T20:40:12.0669526Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:41.8779166Z 2024-08-22:20:40:41,877 INFO     [generate.py:846] 
2024-08-22T20:40:41.8780519Z Time for inference 1: 25.30 sec total, time to first token 0.05 sec with parallel prefill, 199 tokens, 7.87 tokens/sec, 127.13 ms/token
2024-08-22T20:40:41.8782017Z 2024-08-22:20:40:41,877 INFO     [generate.py:849] Bandwidth achieved: 0.33 GB/s
2024-08-22T20:40:41.8783749Z 2024-08-22:20:40:41,877 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:40:43.4267226Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:43.4267743Z Loading model...
2024-08-22T20:40:43.4268019Z Time to load model: 0.03 seconds
2024-08-22T20:40:43.4268609Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:40:43.4270259Z Time to quantize model: 0.03 seconds
2024-08-22T20:40:43.4270957Z -----------------------------------------------------------
2024-08-22T20:40:43.4272139Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:40:43.4273635Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:40:43.4274919Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:40:43.4277532Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, therejust-in-time compilation time (incl run time): 2.5e+01 seconds
2024-08-22T20:40:43.4278849Z 
2024-08-22T20:40:43.4278952Z ========================================
2024-08-22T20:40:43.4279189Z 
2024-08-22T20:40:43.4279294Z Average tokens/sec: 7.87
2024-08-22T20:40:43.4279949Z Memory used: 0.00 GB
2024-08-22T20:40:43.4415947Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:43.4423878Z cat: write error: Broken pipe
2024-08-22T20:40:43.4431014Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:43.4433382Z ***********************************************
2024-08-22T20:40:43.4434270Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:40:43.4434891Z ***********************************************
2024-08-22T20:40:50.5243982Z 2024-08-22:20:40:50,524 INFO     [generate.py:846] 
2024-08-22T20:40:50.5245280Z Time for inference 1: 3.48 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 57.24 tokens/sec, 17.47 ms/token
2024-08-22T20:40:50.5246763Z 2024-08-22:20:40:50,524 INFO     [generate.py:849] Bandwidth achieved: 2.01 GB/s
2024-08-22T20:40:50.5248365Z 2024-08-22:20:40:50,524 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:40:51.2240839Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:51.2241453Z Loading model...
2024-08-22T20:40:51.2242155Z Time to load model: 0.03 seconds
2024-08-22T20:40:51.2243197Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:40:51.2243951Z Time to quantize model: 0.03 seconds
2024-08-22T20:40:51.2244412Z -----------------------------------------------------------
2024-08-22T20:40:51.2245438Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:40:51.2246576Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his friend, Sarah.
2024-08-22T20:40:51.2247415Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:40:51.2249957Z Sarah said, "No, it's too high. You might get hurt."
2024-08-22T20:40:51.2251283Z Jack was sad, but he kept climbing. He reached the top and looked out. He saw a beautiful view of the park and he was so happy. He shouted, "I'm so glad I climbed the tree!"
2024-08-22T20:40:51.2252814Z Sarah smiled and said, "Me too. I'm glad you're safe." Once upon a time, there was a little girl named L
2024-08-22T20:40:51.2253521Z ========================================
2024-08-22T20:40:51.2253774Z 
2024-08-22T20:40:51.2253935Z Average tokens/sec: 57.24
2024-08-22T20:40:51.2254215Z Memory used: 0.00 GB
2024-08-22T20:40:51.2385817Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:51.2392996Z cat: write error: Broken pipe
2024-08-22T20:40:51.2399398Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:41:20.9391186Z 2024-08-22:20:41:20,938 INFO     [generate.py:846] 
2024-08-22T20:41:20.9392485Z Time for inference 1: 25.13 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 7.92 tokens/sec, 126.27 ms/token
2024-08-22T20:41:20.9393991Z 2024-08-22:20:41:20,938 INFO     [generate.py:849] Bandwidth achieved: 0.28 GB/s
2024-08-22T20:41:20.9395757Z 2024-08-22:20:41:20,938 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:41:22.6328958Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:41:22.6329507Z Loading model...
2024-08-22T20:41:22.6329816Z Time to load model: 0.03 seconds
2024-08-22T20:41:22.6330553Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:41:22.6331227Z Time to quantize model: 0.03 seconds
2024-08-22T20:41:22.6331711Z -----------------------------------------------------------
2024-08-22T20:41:22.6332935Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:41:22.6334326Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his friend, Sarah.
2024-08-22T20:41:22.6335571Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:41:22.6336257Z Sarah said, "No, it's too high. You might get hurt."
2024-08-22T20:41:22.6337574Z Jack was sad, but he kept climbing. He reached the top and looked out. He saw a beautiful view of the park and he was so happy. He shouted, "I'm so glad I climbed the tree!"
2024-08-22T20:41:22.6339473Z Sarah smiled and said, "Me too. I'm glad you're safe." Once upon a time, there was a little girl named Ljust-in-time compilation time (incl run time): 2.5e+01 seconds
2024-08-22T20:41:22.6340406Z 
2024-08-22T20:41:22.6340526Z ========================================
2024-08-22T20:41:22.6340778Z 
2024-08-22T20:41:22.6340881Z Average tokens/sec: 7.92
2024-08-22T20:41:22.6341142Z Memory used: 0.00 GB
2024-08-22T20:41:22.6481433Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:41:22.6486393Z cat: write error: Broken pipe
2024-08-22T20:41:22.6492145Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:41:22.6494301Z ***********************************************
2024-08-22T20:41:22.6495625Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:41:22.6496088Z ***********************************************
2024-08-22T20:41:29.6887012Z 2024-08-22:20:41:29,688 INFO     [generate.py:846] 
2024-08-22T20:41:29.6888319Z Time for inference 1: 3.48 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 57.23 tokens/sec, 17.47 ms/token
2024-08-22T20:41:29.6889884Z 2024-08-22:20:41:29,688 INFO     [generate.py:849] Bandwidth achieved: 2.13 GB/s
2024-08-22T20:41:29.6891620Z 2024-08-22:20:41:29,688 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:41:30.3687121Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:41:30.3688029Z Loading model...
2024-08-22T20:41:30.3688573Z Time to load model: 0.03 seconds
2024-08-22T20:41:30.3689788Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:41:30.3690532Z Time to quantize model: 0.03 seconds
2024-08-22T20:41:30.3691065Z -----------------------------------------------------------
2024-08-22T20:41:30.3691760Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her friends.
2024-08-22T20:41:30.3693018Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:41:30.3694418Z Daisy asked her friends, "Can I play with the ball?"
2024-08-22T20:41:30.3695219Z Her friends said, "Yes, of course!"
2024-08-22T20:41:30.3696547Z Daisy was so happy. She ran to the ball and started to play. She kicked the ball and it went flying. Daisy was so excited.
2024-08-22T20:41:30.3697417Z Daisy and her friends played with the ball all day. They laughed and had so much fun.
2024-08-22T20:41:30.3698149Z At the end of the day, Daisy said, "Thank you for playing with me. I had so much fun!"
2024-08-22T20:41:30.3698835Z Her friends said, "We had fun too! Let's play again soon!"
2024-08-22T20:41:30.3699225Z Daisy smiled
2024-08-22T20:41:30.3699460Z ========================================
2024-08-22T20:41:30.3699676Z 
2024-08-22T20:41:30.3699784Z Average tokens/sec: 57.23
2024-08-22T20:41:30.3700049Z Memory used: 0.00 GB
2024-08-22T20:41:30.3838811Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:41:30.3844577Z cat: write error: Broken pipe
2024-08-22T20:41:30.3853593Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:00.0231823Z 2024-08-22:20:42:00,022 INFO     [generate.py:846] 
2024-08-22T20:42:00.0233140Z Time for inference 1: 25.27 sec total, time to first token 0.06 sec with parallel prefill, 199 tokens, 7.87 tokens/sec, 127.00 ms/token
2024-08-22T20:42:00.0234663Z 2024-08-22:20:42:00,022 INFO     [generate.py:849] Bandwidth achieved: 0.29 GB/s
2024-08-22T20:42:00.0269465Z 2024-08-22:20:42:00,023 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:42:01.7084559Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:42:01.7085100Z Loading model...
2024-08-22T20:42:01.7085460Z Time to load model: 0.03 seconds
2024-08-22T20:42:01.7086136Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:42:01.7086771Z Time to quantize model: 0.04 seconds
2024-08-22T20:42:01.7090891Z -----------------------------------------------------------
2024-08-22T20:42:01.7091906Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her friends.
2024-08-22T20:42:01.7093722Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:42:01.7095010Z Daisy asked her friends, "Can I play with the ball?"
2024-08-22T20:42:01.7095530Z Her friends said, "Yes, of course!"
2024-08-22T20:42:01.7097074Z Daisy was so happy. She ran to the ball and started to play. She kicked the ball and it went flying. Daisy was so excited.
2024-08-22T20:42:01.7098017Z Daisy and her friends played with the ball all day. They laughed and had so much fun.
2024-08-22T20:42:01.7098783Z At the end of the day, Daisy said, "Thank you for playing with me. I had so much fun!"
2024-08-22T20:42:01.7099490Z Her friends said, "We had fun too! Let's play again soon!"
2024-08-22T20:42:01.7100138Z Daisy smiledjust-in-time compilation time (incl run time): 2.5e+01 seconds
2024-08-22T20:42:01.7100536Z 
2024-08-22T20:42:01.7100632Z ========================================
2024-08-22T20:42:01.7100855Z 
2024-08-22T20:42:01.7100951Z Average tokens/sec: 7.87
2024-08-22T20:42:01.7101218Z Memory used: 0.00 GB
2024-08-22T20:42:01.7234348Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:01.7242398Z cat: write error: Broken pipe
2024-08-22T20:42:01.7248438Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:01.7250995Z ******************************************
2024-08-22T20:42:01.7251670Z ******* INT8 channel-wise quantized ******
2024-08-22T20:42:01.7252017Z ******************************************
2024-08-22T20:42:07.1692692Z 2024-08-22:20:42:07,168 INFO     [generate.py:846] 
2024-08-22T20:42:07.1693989Z Time for inference 1: 1.89 sec total, time to first token 0.04 sec with parallel prefill, 199 tokens, 105.30 tokens/sec, 9.50 ms/token
2024-08-22T20:42:07.1695571Z 2024-08-22:20:42:07,169 INFO     [generate.py:849] Bandwidth achieved: 3.55 GB/s
2024-08-22T20:42:07.1697313Z 2024-08-22:20:42:07,169 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:07.9183867Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:42:07.9184383Z Loading model...
2024-08-22T20:42:07.9184709Z Time to load model: 0.03 seconds
2024-08-22T20:42:07.9185419Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:07.9186032Z Time to quantize model: 0.04 seconds
2024-08-22T20:42:07.9186541Z -----------------------------------------------------------
2024-08-22T20:42:07.9187769Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:07.9189739Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:42:07.9191899Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:42:07.9193295Z Daisy and the boy are friends. They like to play at
2024-08-22T20:42:07.9194515Z ========================================
2024-08-22T20:42:07.9194738Z 
2024-08-22T20:42:07.9194843Z Average tokens/sec: 105.30
2024-08-22T20:42:07.9195116Z Memory used: 0.00 GB
2024-08-22T20:42:07.9331706Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:07.9338843Z cat: write error: Broken pipe
2024-08-22T20:42:07.9345935Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:42.7459691Z 2024-08-22:20:42:42,745 INFO     [generate.py:846] 
2024-08-22T20:42:42.7460994Z Time for inference 1: 30.28 sec total, time to first token 0.04 sec with parallel prefill, 199 tokens, 6.57 tokens/sec, 152.16 ms/token
2024-08-22T20:42:42.7462499Z 2024-08-22:20:42:42,745 INFO     [generate.py:849] Bandwidth achieved: 0.22 GB/s
2024-08-22T20:42:42.7466502Z 2024-08-22:20:42:42,745 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:42:44.3453110Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:42:44.3453591Z Loading model...
2024-08-22T20:42:44.3453863Z Time to load model: 0.03 seconds
2024-08-22T20:42:44.3454848Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:44.3455683Z Time to quantize model: 0.04 seconds
2024-08-22T20:42:44.3456196Z -----------------------------------------------------------
2024-08-22T20:42:44.3457574Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:44.3459394Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:42:44.3461538Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:42:44.3463327Z Daisy and the boy are friends. They like to play atjust-in-time compilation time (incl run time): 3e+01 seconds
2024-08-22T20:42:44.3464329Z 
2024-08-22T20:42:44.3464512Z ========================================
2024-08-22T20:42:44.3464926Z 
2024-08-22T20:42:44.3465151Z Average tokens/sec: 6.57
2024-08-22T20:42:44.3465709Z Memory used: 0.00 GB
2024-08-22T20:42:44.3602100Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:44.3607885Z cat: write error: Broken pipe
2024-08-22T20:42:44.3618092Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:44.3620324Z ******************************************
2024-08-22T20:42:44.3620938Z ******** INT8 group-wise quantized *******
2024-08-22T20:42:44.3621287Z ******************************************
2024-08-22T20:42:52.9131399Z 2024-08-22:20:42:52,912 INFO     [generate.py:846] 
2024-08-22T20:42:52.9132712Z Time for inference 1: 4.98 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 39.97 tokens/sec, 25.02 ms/token
2024-08-22T20:42:52.9134206Z 2024-08-22:20:42:52,912 INFO     [generate.py:849] Bandwidth achieved: 1.50 GB/s
2024-08-22T20:42:52.9135790Z 2024-08-22:20:42:52,913 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:53.5542134Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:42:53.5542816Z Loading model...
2024-08-22T20:42:53.5543218Z Time to load model: 0.03 seconds
2024-08-22T20:42:53.5543805Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:42:53.5544324Z Time to quantize model: 0.05 seconds
2024-08-22T20:42:53.5544743Z -----------------------------------------------------------
2024-08-22T20:42:53.5545347Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:42:53.5547237Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:42:53.5548437Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:42:53.5549310Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:42:53.5551021Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!
2024-08-22T20:42:53.5552424Z ========================================
2024-08-22T20:42:53.5552641Z 
2024-08-22T20:42:53.5552738Z Average tokens/sec: 39.97
2024-08-22T20:42:53.5553003Z Memory used: 0.00 GB
2024-08-22T20:42:53.5687047Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:53.5693273Z cat: write error: Broken pipe
2024-08-22T20:42:53.5700565Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:43:29.5585255Z 2024-08-22:20:43:29,558 INFO     [generate.py:846] 
2024-08-22T20:43:29.5586807Z Time for inference 1: 31.49 sec total, time to first token 0.07 sec with parallel prefill, 199 tokens, 6.32 tokens/sec, 158.22 ms/token
2024-08-22T20:43:29.5591041Z 2024-08-22:20:43:29,558 INFO     [generate.py:849] Bandwidth achieved: 0.24 GB/s
2024-08-22T20:43:29.5592865Z 2024-08-22:20:43:29,558 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:43:31.2802937Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:43:31.2803425Z Loading model...
2024-08-22T20:43:31.2803685Z Time to load model: 0.03 seconds
2024-08-22T20:43:31.2808195Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:43:31.2808952Z Time to quantize model: 0.05 seconds
2024-08-22T20:43:31.2809403Z -----------------------------------------------------------
2024-08-22T20:43:31.2810046Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:43:31.2811590Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:43:31.2812866Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:43:31.2813764Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:43:31.2816496Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!just-in-time compilation time (incl run time): 3.1e+01 seconds
2024-08-22T20:43:31.2818371Z 
2024-08-22T20:43:31.2818478Z ========================================
2024-08-22T20:43:31.2818722Z 
2024-08-22T20:43:31.2818833Z Average tokens/sec: 6.32
2024-08-22T20:43:31.2819126Z Memory used: 0.00 GB
2024-08-22T20:43:31.2957176Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:43:31.2965852Z cat: write error: Broken pipe
2024-08-22T20:43:31.2971092Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:43:31.2973334Z ******************************************
2024-08-22T20:43:31.2974053Z ******** INT4 group-wise quantized *******
2024-08-22T20:43:31.2974401Z ******************************************
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2024-08-22T20:43:35.0891680Z 2024-08-22:20:43:35,088 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
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2024-08-22T20:43:41.4814763Z 2024-08-22:20:43:41,481 INFO     [generate.py:846] 
2024-08-22T20:43:41.4816124Z Time for inference 1: 6.27 sec total, time to first token 0.22 sec with parallel prefill, 199 tokens, 31.74 tokens/sec, 31.50 ms/token
2024-08-22T20:43:41.4817735Z 2024-08-22:20:43:41,481 INFO     [generate.py:849] Bandwidth achieved: 1.59 GB/s
2024-08-22T20:43:41.4819465Z 2024-08-22:20:43:41,481 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:43:42.1005896Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:43:42.1006724Z Loading model...
2024-08-22T20:43:42.1007160Z Time to load model: 0.03 seconds
2024-08-22T20:43:42.1008033Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:43:42.1008532Z Time to quantize model: 0.21 seconds
2024-08-22T20:43:42.1008964Z -----------------------------------------------------------
2024-08-22T20:43:42.1009677Z Hello, my name is Toby. He has a very special toy. It is a big, red ball. He loves to play with it every day.
2024-08-22T20:43:42.1011053Z One day, Toby's mommy said, "Toby, it's time to go outside and play." Toby was very excited. He ran outside and started to play with his ball. He was having so much fun!
2024-08-22T20:43:42.1012302Z Suddenly, Toby heard a loud noise. He looked up and saw a big, scary dog. Toby was scared and started to cry.
2024-08-22T20:43:42.1013351Z His mommy came over and said, "Don't worry, Toby. I'll protect you." She picked up Toby and held him close.
2024-08-22T20:43:42.1014743Z Toby was so relieved and he smiled. He was so happy that his mommy was there to protect him. He hugged her tight and said, "Thank you, Mommy!"
2024-08-22T20:43:42.1015483Z Toby and his mommy went
2024-08-22T20:43:42.1015748Z ========================================
2024-08-22T20:43:42.1015968Z 
2024-08-22T20:43:42.1016067Z Average tokens/sec: 31.74
2024-08-22T20:43:42.1016333Z Memory used: 0.00 GB
2024-08-22T20:43:42.1155455Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:43:42.1164844Z cat: write error: Broken pipe
2024-08-22T20:43:42.1172557Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:43:45.7161075Z 2024-08-22:20:43:45,715 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
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2024-08-22T20:43:45.7602555Z 2024-08-22:20:43:45,760 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
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2024-08-22T20:43:45.7951419Z 2024-08-22:20:43:45,794 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:43:45.7953041Z 2024-08-22:20:43:45,795 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
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2024-08-22T20:43:45.8000040Z 2024-08-22:20:43:45,799 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:43:45.8001598Z 2024-08-22:20:43:45,799 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:45.8040250Z 2024-08-22:20:43:45,803 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:43:45.8046655Z 2024-08-22:20:43:45,804 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:44:18.6360838Z 2024-08-22:20:44:18,635 INFO     [generate.py:846] 
2024-08-22T20:44:18.6363356Z Time for inference 1: 31.81 sec total, time to first token 0.22 sec with parallel prefill, 199 tokens, 6.26 tokens/sec, 159.84 ms/token
2024-08-22T20:44:18.6364954Z 2024-08-22:20:44:18,635 INFO     [generate.py:849] Bandwidth achieved: 0.31 GB/s
2024-08-22T20:44:18.6366742Z 2024-08-22:20:44:18,635 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches, JIT compilation. ***
2024-08-22T20:44:20.2014524Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:44:20.2014990Z Loading model...
2024-08-22T20:44:20.2017857Z Time to load model: 0.03 seconds
2024-08-22T20:44:20.2018745Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:44:20.2019639Z Time to quantize model: 0.21 seconds
2024-08-22T20:44:20.2020494Z -----------------------------------------------------------
2024-08-22T20:44:20.2021774Z Hello, my name is Toby. He has a very special toy. It is a big, red ball. He loves to play with it every day.
2024-08-22T20:44:20.2023732Z One day, Toby's mommy said, "Toby, it's time to go outside and play." Toby was very excited. He ran outside and started to play with his ball. He was having so much fun!
2024-08-22T20:44:20.2024926Z Suddenly, Toby heard a loud noise. He looked up and saw a big, scary dog. Toby was scared and started to cry.
2024-08-22T20:44:20.2025931Z His mommy came over and said, "Don't worry, Toby. I'll protect you." She picked up Toby and held him close.
2024-08-22T20:44:20.2027489Z Toby was so relieved and he smiled. He was so happy that his mommy was there to protect him. He hugged her tight and said, "Thank you, Mommy!"
2024-08-22T20:44:20.2028785Z Toby and his mommy wentjust-in-time compilation time (incl run time): 3.2e+01 seconds
2024-08-22T20:44:20.2029974Z 
2024-08-22T20:44:20.2030143Z ========================================
2024-08-22T20:44:20.2030490Z 
2024-08-22T20:44:20.2030596Z Average tokens/sec: 6.26
2024-08-22T20:44:20.2030873Z Memory used: 0.00 GB
2024-08-22T20:44:20.2161234Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:44:20.2168825Z cat: write error: Broken pipe
2024-08-22T20:44:20.2177947Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:44:20.2241709Z Post job cleanup.
2024-08-22T20:44:20.3432108Z Post job cleanup.
2024-08-22T20:44:20.4156894Z [command]/usr/bin/git version
2024-08-22T20:44:20.4194204Z git version 2.46.0
2024-08-22T20:44:20.4238120Z Temporarily overriding HOME='/home/runner/work/_temp/c0e47163-3d6e-4b15-8d3c-29db6d1c670f' before making global git config changes
2024-08-22T20:44:20.4239191Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:44:20.4241843Z [command]/usr/bin/git config --global --add safe.directory /home/runner/work/torchchat/torchchat
2024-08-22T20:44:20.4274484Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:44:20.4304626Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2024-08-22T20:44:20.4556070Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:44:20.4578626Z http.https://github.com/.extraheader
2024-08-22T20:44:20.4589135Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-08-22T20:44:20.4619491Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2024-08-22T20:44:20.5134299Z Cleaning up orphan processes