runtime error

Exit code: 1. Reason: pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 311, in _wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4820, in from_pretrained device_map = _get_device_map(model, device_map, max_memory, hf_quantizer, torch_dtype, keep_in_fp32_regex) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1460, in _get_device_map hf_quantizer.validate_environment(device_map=device_map) File "/usr/local/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_4bit.py", line 117, in validate_environment raise ValueError( ValueError: Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 575, in <module> analyzer = PrivacyPolicyAnalyzer() File "/home/user/app/app.py", line 67, in __init__ self.setup_models() File "/home/user/app/app.py", line 119, in setup_models raise Exception(f"Failed to load Llama 3.1 8B Instruct: {e}") Exception: Failed to load Llama 3.1 8B Instruct: Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details.

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