runtime error

Exit code: 1. Reason: 74s/it] Downloading shards: 100%|██████████| 2/2 [00:12<00:00, 6.30s/it] The model weights are not tied. Please use the `tie_weights` method before using the `infer_auto_device` function. Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 8.39it/s] Some weights of GemmaForCausalLM were not initialized from the model checkpoint at himmeow/vi-gemma-2b-RAG and are newly initialized: ['lm_head.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/home/user/app/app.py", line 43, in <module> rag_model = AutoModelForCausalLM.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4034, in from_pretrained dispatch_model(model, **device_map_kwargs) File "/usr/local/lib/python3.10/site-packages/accelerate/big_modeling.py", line 494, in dispatch_model model.to(device) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 2905, in to return super().to(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1173, in to return self._apply(convert) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 779, in _apply module._apply(fn) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 804, in _apply param_applied = fn(param) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1166, in convert raise NotImplementedError( NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.

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