runtime error

Exit code: 1. Reason: merges.txt: 0%| | 0.00/1.67M [00:00<?, ?B/s] merges.txt: 100%|██████████| 1.67M/1.67M [00:00<00:00, 18.4MB/s] tokenizer.json: 0%| | 0.00/7.03M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 7.03M/7.03M [00:00<00:00, 51.9MB/s] [transformers] `torch_dtype` is deprecated! Use `dtype` instead! Traceback (most recent call last): File "/app/app.py", line 8, in <module> model = AutoModelForCausalLM.from_pretrained( model_name, device_map="auto", torch_dtype=torch.float16 ) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 394, in from_pretrained return model_class.from_pretrained( ~~~~~~~~~~~~~~~~~~~~~~~~~~~^ pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4095, in from_pretrained hf_quantizer, config, device_map = get_hf_quantizer( ~~~~~~~~~~~~~~~~^ config, quantization_config, device_map, weights_only, user_agent ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 334, in get_hf_quantizer hf_quantizer = AutoHfQuantizer.from_config( config.quantization_config, pre_quantized=pre_quantized, ) File "/usr/local/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 211, in from_config return target_cls(quantization_config, **kwargs) File "/usr/local/lib/python3.13/site-packages/transformers/quantizers/quantizer_gptq.py", line 53, in __init__ raise ImportError("Loading a GPTQ quantized model requires optimum (`pip install optimum`)") ImportError: Loading a GPTQ quantized model requires optimum (`pip install optimum`)

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