runtime error

Exit code: 1. Reason: device, only available on CUDA for now. model.safetensors: 0%| | 0.00/2.47G [00:00<?, ?B/s] model.safetensors: 0%| | 8.38M/2.47G [00:01<07:34, 5.42MB/s] model.safetensors: 12%|█▏ | 291M/2.47G [00:02<00:16, 136MB/s]  model.safetensors: 30%|██▉ | 732M/2.47G [00:03<00:06, 257MB/s] model.safetensors: 42%|████▏ | 1.04G/2.47G [00:04<00:05, 264MB/s] model.safetensors: 69%|██████▊ | 1.70G/2.47G [00:05<00:02, 384MB/s] model.safetensors: 100%|██████████| 2.47G/2.47G [00:06<00:00, 368MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 10, in <module> model = AutoModelForCausalLM.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 600, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 317, in _wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 5050, 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 1502, in _get_device_map hf_quantizer.validate_environment(device_map=device_map) File "/usr/local/lib/python3.10/site-packages/transformers/quantizers/quantizer_bnb_8bit.py", line 114, 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.

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