runtime error

Exit code: 1. Reason: they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. A new version of the following files was downloaded from https://huggingface.co./vinai/PhoGPT-4B-Chat: - custom_embedding.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. A new version of the following files was downloaded from https://huggingface.co./vinai/PhoGPT-4B-Chat: - adapt_tokenizer.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. A new version of the following files was downloaded from https://huggingface.co./vinai/PhoGPT-4B-Chat: - param_init_fns.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. A new version of the following files was downloaded from https://huggingface.co./vinai/PhoGPT-4B-Chat: - modeling_mpt.py - hf_prefixlm_converter.py - meta_init_context.py - custom_embedding.py - adapt_tokenizer.py - param_init_fns.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. Traceback (most recent call last): File "/home/user/app/app.py", line 23, in <module> model = AutoModelForCausalLM.from_pretrained(model_path, File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 559, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3279, in from_pretrained hf_quantizer.validate_environment( File "/usr/local/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_8bit.py", line 62, in validate_environment raise RuntimeError("No GPU found. A GPU is needed for quantization.") RuntimeError: No GPU found. A GPU is needed for quantization.

Container logs:

Fetching error logs...