05f03b541a
* hf offline decorator for tests to workaround rate limits * fail quicker so we can see logs * try new cache name * limit files downloaded * phi mini predownload * offline decorator for phi tokenizer * handle meta llama 8b offline too * make sure to return fixtures if they are wrapped too * more fixes * more things offline * more offline things * fix the env var * fix the model name * handle gemma also * force reload of modules to recheck offline status * prefetch mistral too * use reset_sessions so hub picks up offline mode * more fixes * rename so it doesn't seem like a context manager * fix backoff * switch out tinyshakespeare dataset since it runs a py script to fetch data and doesn't work offline * include additional dataset * more fixes * more fixes * replace tiny shakespeaere dataset * skip some tests for now * use more robust check using snapshot download to determine if a dataset name is on the hub * typo for skip reason * use local_files_only * more fixtures * remove local only * use tiny shakespeare as pretrain dataset and streaming can't be offline even if precached * make sure fixtures aren't offline improve the offline reset try bumping version of datasets reorder reloading and setting prime a new cache run the tests now with fresh cache try with a static cache * now run all the ci again with hopefully a correct cache * skip wonky tests for now * skip wonky tests for now * handle offline mode for model card creation
67 lines
992 B
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67 lines
992 B
Plaintext
--extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
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# START section of dependencies that don't install on Darwin/MacOS
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bitsandbytes==0.45.3
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triton>=3.0.0
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mamba-ssm==1.2.0.post1
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xformers>=0.0.23.post1
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autoawq==0.2.7.post3
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liger-kernel==0.5.3
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# END section
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packaging==23.2
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peft==0.15.0
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transformers==4.50.0
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tokenizers>=0.21.1
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accelerate==1.5.2
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datasets==3.5.0
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deepspeed==0.16.4
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trl==0.15.1
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optimum==1.16.2
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hf_transfer
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sentencepiece
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gradio==3.50.2
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modal==0.70.5
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pydantic==2.10.6
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addict
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fire
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PyYAML>=6.0
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requests
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wandb
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einops
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colorama
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numba
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numpy>=1.24.4,<=2.0.1
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# qlora things
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evaluate==0.4.1
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scipy
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scikit-learn==1.4.2
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nvidia-ml-py==12.560.30
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art
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tensorboard
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python-dotenv==1.0.1
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# remote filesystems
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s3fs>=2024.5.0
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gcsfs>=2024.5.0
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# adlfs
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zstandard==0.22.0
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fastcore
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# lm eval harness
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lm_eval==0.4.7
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langdetect==1.0.9
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immutabledict==4.2.0
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antlr4-python3-runtime==4.13.2
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torchao==0.7.0
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schedulefree==1.3.0
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axolotl-contribs-lgpl==0.0.6
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axolotl-contribs-mit==0.0.3
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