3ebf22464b
* fix 405b with lower cpu ram requirements * make sure to use doouble quant and only skip output embeddings * set model attributes * more fixes for sharded fsdp loading * update the base model in example to use pre-quantized nf4-bf16 weights * upstream fixes for qlora+fsdp
47 lines
801 B
Plaintext
47 lines
801 B
Plaintext
--extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
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packaging==23.2
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peft==0.11.1
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transformers @ git+https://github.com/huggingface/transformers.git@026a173a64372e9602a16523b8fae9de4b0ff428
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tokenizers==0.19.1
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bitsandbytes==0.43.3
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accelerate==0.32.0
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deepspeed==0.14.4
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pydantic==2.6.3
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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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datasets==2.19.1
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flash-attn==2.6.2
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sentencepiece
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wandb
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einops
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xformers==0.0.27
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optimum==1.16.2
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hf_transfer
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colorama
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numba
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numpy>=1.24.4
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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==1.2.2
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pynvml
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art
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fschat @ git+https://github.com/lm-sys/FastChat.git@27a05b04a35510afb1d767ae7e5990cbd278f8fe
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gradio==3.50.2
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tensorboard
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python-dotenv==1.0.1
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autoawq>=0.2.5
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mamba-ssm==1.2.0.post1
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# remote filesystems
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s3fs
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gcsfs
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# adlfs
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trl==0.9.6
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zstandard==0.22.0
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fastcore
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