runtime error

Exit code: 1. Reason: o the cpu and disk. Memuat tokenizer... tokenizer_config.json: 0%| | 0.00/34.2k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 34.2k/34.2k [00:00<00:00, 69.2MB/s] tokenizer.model: 0%| | 0.00/4.24M [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 4.24M/4.24M [00:00<00:00, 13.8MB/s] tokenizer.json: 0%| | 0.00/17.5M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 17.5M/17.5M [00:00<00:00, 74.9MB/s] special_tokens_map.json: 0%| | 0.00/636 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 636/636 [00:00<00:00, 3.39MB/s] Menggabungkan adapter: anggakayy/model-lampung-output-v3-gemma adapter_config.json: 0%| | 0.00/672 [00:00<?, ?B/s] adapter_config.json: 100%|██████████| 672/672 [00:00<00:00, 3.54MB/s] adapter_model.safetensors: 0%| | 0.00/7.39M [00:00<?, ?B/s] adapter_model.safetensors: 100%|██████████| 7.39M/7.39M [00:00<00:00, 19.4MB/s] Traceback (most recent call last): File "/app/app.py", line 35, in <module> model = PeftModel.from_pretrained(model, adapter_name) File "/usr/local/lib/python3.10/site-packages/peft/peft_model.py", line 356, in from_pretrained model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs) File "/usr/local/lib/python3.10/site-packages/peft/peft_model.py", line 760, in load_adapter dispatch_model( File "/usr/local/lib/python3.10/site-packages/accelerate/big_modeling.py", line 376, in dispatch_model raise ValueError( ValueError: We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules need to be offloaded: base_model.model.model.layers.11, base_model.model.model.layers.12, base_model.model.model.layers.13, base_model.model.model.layers.14, base_model.model.model.layers.15, base_model.model.model.layers.16, base_model.model.model.layers.17, base_model.model.model.norm.

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