runtime error
Exit code: 1. Reason: �█████████| 943/943 [00:00<00:00, 4.96MB/s] adapter_model.safetensors: 0%| | 0.00/3.20G [00:00<?, ?B/s][A adapter_model.safetensors: 0%| | 0.00/3.20G [00:01<?, ?B/s][A adapter_model.safetensors: 0%| | 8.38M/3.20G [00:02<07:36, 6.99MB/s][A adapter_model.safetensors: 38%|███▊ | 1.21G/3.20G [00:03<00:03, 614MB/s] [A adapter_model.safetensors: 58%|█████▊ | 1.84G/3.20G [00:04<00:02, 558MB/s][A adapter_model.safetensors: 100%|██████████| 3.20G/3.20G [00:06<00:00, 617MB/s][A adapter_model.safetensors: 100%|██████████| 3.20G/3.20G [00:06<00:00, 470MB/s] Traceback (most recent call last): File "/app/app.py", line 18, in <module> model = PeftModel.from_pretrained(base_model, model_repo_id) File "/usr/local/lib/python3.13/site-packages/peft/peft_model.py", line 582, in from_pretrained load_result = model.load_adapter( model_id, ...<5 lines>... **kwargs, ) File "/usr/local/lib/python3.13/site-packages/peft/peft_model.py", line 1408, in load_adapter load_result = set_peft_model_state_dict( self, ...<3 lines>... low_cpu_mem_usage=low_cpu_mem_usage, ) File "/usr/local/lib/python3.13/site-packages/peft/utils/save_and_load.py", line 834, in set_peft_model_state_dict load_result = model.load_state_dict(peft_model_state_dict, strict=False) File "/usr/local/lib/python3.13/site-packages/torch/nn/modules/module.py", line 2639, in load_state_dict raise RuntimeError( ...<3 lines>... ) RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM: size mismatch for base_model.model.model.embed_tokens.weight: copying a param with shape torch.Size([128257, 3072]) from checkpoint, the shape in current model is torch.Size([128256, 3072]). size mismatch for base_model.model.lm_head.weight: copying a param with shape torch.Size([128257, 3072]) from checkpoint, the shape in current model is torch.Size([128256, 3072]).
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