runtime error

Exit code: 1. Reason: already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/site-packages (from jinja2->torch->flash-attn) (2.1.5) Building wheels for collected packages: flash-attn Building wheel for flash-attn (setup.py): started Building wheel for flash-attn (setup.py): finished with status 'done' Created wheel for flash-attn: filename=flash_attn-2.7.2.post1-py3-none-any.whl size=190160474 sha256=0b454d9e650bfc437cc71335080172a5d05f51eab355636c9d5b7321fec7318e Stored in directory: /home/user/.cache/pip/wheels/06/fc/79/19012222fa3f30b544df5d385d69b9f03c243478e21fadd062 Successfully built flash-attn Installing collected packages: einops, flash-attn Successfully installed einops-0.8.0 flash-attn-2.7.2.post1 [notice] A new release of pip available: 22.3.1 -> 24.3.1 [notice] To update, run: /usr/local/bin/python3.10 -m pip install --upgrade pip /usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. warnings.warn( Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. Traceback (most recent call last): File "/home/user/app/app.py", line 86, in <module> model = AutoModelForCausalLM.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 561, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3024, in from_pretrained hf_quantizer.validate_environment( File "/usr/local/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_4bit.py", line 62, in validate_environment raise ImportError( ImportError: Using `bitsandbytes` 8-bit quantization requires Accelerate: `pip install accelerate` and the latest version of bitsandbytes: `pip install -i https://pypi.org/simple/ bitsandbytes`

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