runtime error

��█▎ | 1.11G/4.73G [00:09<00:20, 178MB/s] pytorch_model.bin: 28%|██▊ | 1.31G/4.73G [00:11<00:26, 127MB/s] pytorch_model.bin: 33%|███▎ | 1.57G/4.73G [00:12<00:20, 152MB/s] pytorch_model.bin: 40%|███▉ | 1.89G/4.73G [00:14<00:15, 184MB/s] pytorch_model.bin: 46%|████▌ | 2.17G/4.73G [00:15<00:12, 201MB/s] pytorch_model.bin: 51%|█████ | 2.40G/4.73G [00:18<00:16, 141MB/s] pytorch_model.bin: 56%|█████▌ | 2.63G/4.73G [00:19<00:13, 155MB/s] pytorch_model.bin: 63%|██████▎ | 2.96G/4.73G [00:20<00:09, 191MB/s] pytorch_model.bin: 67%|██████▋ | 3.19G/4.73G [00:21<00:08, 193MB/s] pytorch_model.bin: 72%|███████▏ | 3.41G/4.73G [00:22<00:07, 177MB/s] pytorch_model.bin: 79%|███████▉ | 3.74G/4.73G [00:24<00:04, 213MB/s] pytorch_model.bin: 92%|█████████▏| 4.33G/4.73G [00:25<00:01, 307MB/s] pytorch_model.bin: 100%|█████████▉| 4.73G/4.73G [00:25<00:00, 186MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 17, in <module> model = AutoModelForCausalLM.from_pretrained('IEITYuan/Yuan2-2B-Janus-hf', device_map='auto', torch_dtype=torch.bfloat16, trust_remote_code=True) File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 479, in from_pretrained return model_class.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 2881, in from_pretrained ) = cls._load_pretrained_model( File "/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 2980, in _load_pretrained_model raise ValueError( ValueError: The current `device_map` had weights offloaded to the disk. Please provide an `offload_folder` for them. Alternatively, make sure you have `safetensors` installed if the model you are using offers the weights in this format.

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