runtime error

Exit code: 1. Reason: shards: 0%| | 0/4 [00:00<?, ?it/s] Loading checkpoint shards: 100%|██████████| 4/4 [00:00<00:00, 49490.31it/s] Some weights of the model checkpoint at google/gemma-3n-e4b-it were not used when initializing Gemma3nForConditionalGeneration: ['model.vision_tower.timm_model.conv_stem.conv.bias'] - This IS expected if you are initializing Gemma3nForConditionalGeneration from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing Gemma3nForConditionalGeneration from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). generation_config.json: 0%| | 0.00/215 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 215/215 [00:00<00:00, 1.23MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 19, in <module> model = Gemma3nForConditionalGeneration.from_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 4933, in from_pretrained dispatch_model(model, **device_map_kwargs) File "/usr/local/lib/python3.10/site-packages/accelerate/big_modeling.py", line 504, in dispatch_model raise ValueError( ValueError: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 24, in <module> raise Exception(f"Failed to load model or processor: {str(e)}") Exception: Failed to load model or processor: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead.

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