Error: Failed to load GPTQ-for-LLaMa. No module named 'llama' when I load quantized model https://huggingface.co/TheBloke/Llama-2-70B-chat-GPTQ
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- Dominant language
- Python
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Description
Dockerfile:
FROM nvidia/cuda:11.7.1-runtime-ubuntu20.04
RUN apt-get update -y && apt-get install -y python3.9 python3.9-distutils curl
RUN curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
RUN python3.9 get-pip.py
RUN pip3 install "fschat[model_worker,webui]"
RUN pip install --upgrade bitsandbytes
RUN pip install scipy
RUN pip install auto-gptq
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Dockerfile and its Python package installation commands, then reproduce the quantized-model load using the linked GPTQ model and inspect the reported missing llama module. Done means the cause of the failed GPTQ-for-LLaMa load is identified and the issue has a verified setup or dependency resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- dockerfile, huggingface, python
- Domain
- devops, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100