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2024-03-27 10:44:15.676 | INFO | __main__:load_tokenizer:211 - vocab_size of tokenizer: 151643
2024-03-27 10:44:15.676 | INFO | __main__:load_model:220 - Loading model from base model: /data/share/rwq/Qwen1.5-72B-Chat-GPTQ-Int4
2024-03-27 10:44:15.676 | INFO | __main__:load_model:221 - Train model with lora
Traceback (most recent call last):
File "/home/powerop/work/rwq/Firefly/train.py", line 400, in <module>
main()
File "/home/powerop/work/rwq/Firefly/train.py", line 385, in main
trainer = init_components(args, training_args)
File "/home/powerop/work/rwq/Firefly/train.py", line 338, in init_components
components = load_model(args, training_args)
File "/home/powerop/work/rwq/Firefly/train.py", line 246, in load_model
model = AutoModelForCausalLM.from_pretrained(args.model_name_or_path, **model_kwargs)
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 526, in from_pretrained
config, kwargs = AutoConfig.from_pretrained(
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1124, in from_pretrained
return config_class.from_dict(config_dict, **unused_kwargs)
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/configuration_utils.py", line 792, in from_dict
logger.info(f"Model config {config}")
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/configuration_utils.py", line 824, in __repr__
return f"{self.__class__.__name__} {self.to_json_string()}"
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/configuration_utils.py", line 938, in to_json_string
config_dict = self.to_diff_dict()
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/configuration_utils.py", line 834, in to_diff_dict
config_dict = self.to_dict()
File "/home/powerop/work/conda/envs/firefly/lib/python3.10/site-packages/transformers/configuration_utils.py", line 913, in to_dict
self.quantization_config.to_dict()
AttributeError: 'NoneType' object has no attribute 'to_dict'
The text was updated successfully, but these errors were encountered:
请问一下是否可以支持qwen1.5-72b-chat-int4版本的微调呢?
我这边尝试使用lora微调qwen1.5-72b-chat-int4版本的,报错:
运行命令:
报错信息:
The text was updated successfully, but these errors were encountered: