Anybody know what is the version of `flash_attn` used for finetune?

[Oscarjia]

When attempting to execute the FastChat\scripts\train_vicuna_7b.sh script, it raises an exception with the following error message:

File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/transformer.py", line 16, in <module>
    from flash_attn.flash_attn_interface import flash_attn_unpadded_func
ImportError: cannot import name 'flash_attn_unpadded_func' from 'flash_attn.flash_attn_interface' (/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py)

Does anyone know why this error occurred? Additionally, why hasn't the repository provided a requirements.txt file to specify the required environment for fine-tuning the model?

[dhruvpes]

Hello, I also am currently facing a similar issue during fine tuning. Despite setting all the Environment variables correctly, this issue still persists.

I am able to run the model locally (both with CPU and GPU option). If you have figured out the solution, could you please share your approach?

Thanks

[Oscarjia]

Yes, actually i recommend you create a docker container for finetuning. For example: FROM nvcr.io/nvidia/pytorch:23.11-py3 and install some basic package below and then run train_vicuna_7b.sh

pip install peft==0.5.0 \
    transformers==4.37.1 \
    transformers-stream-generator==0.0.4 \
    deepspeed==0.12.3 \
    accelerate==0.26.1 \
    gunicorn==20.1.0 \
    flask==2.1.2 \
    flask_api==3.1 \
    langchain==0.1.4 \
    fastapi==0.109.1 \
    uvicorn==0.19.0 \
    jinja2==3.1.2 \
    huggingface_hub==0.20.3 \
    grpcio-tools==1.60.0 \
    bitsandbytes==0.42.0 \
    sentencepiece==0.1.99 \
    safetensors==0.4.2 \
    datasets==2.16.1 \
    texttable==1.7.0 \
    toml==0.10.2  \
    numpy==1.24.4 \
    scikit-learn==1.3.2\
    loguru==0.7.0 \
    protobuf==4.24.4 \
    pydantic==2.5.1 \
    python-dotenv==1.0.0 \
    tritonclient[all]==2.41.1 \
    sse-starlette==2.0.0 \
    boto3==1.34.30 \
    jsonlines==4.0.0

Hope this can help you.