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�[32m[2024-06-11 23:38:32,956][ INFO]�[0m - All the weights of Qwen2ForCausalLM were initialized from the model checkpoint at Qwen/Qwen2-7B-Instruct.
If your task is similar to the task the model of the checkpoint was trained on, you can already use Qwen2ForCausalLM for predictions without further training.�[0m
(…)Qwen2-7B-Instruct/generation_config.json: 100%|█| 208/208 [00:00<00:00, 1.01M
�[32m[2024-06-11 23:38:33,063][ INFO]�[0m - Loading configuration file /home/aistudio/.paddlenlp/models/Qwen/Qwen2-7B-Instruct/generation_config.json�[0m
�[32m[2024-06-11 23:38:33,064][ INFO]�[0m - Generation config file not found, using a generation config created from the model config.�[0m
�[32m[2024-06-11 23:38:33,064][ INFO]�[0m - We are using <class 'paddlenlp.transformers.qwen2.configuration.Qwen2Config'> to load 'Qwen/Qwen2-7B-Instruct'.�[0m
�[32m[2024-06-11 23:38:33,064][ INFO]�[0m - Loading configuration file /home/aistudio/.paddlenlp/models/Qwen/Qwen2-7B-Instruct/config.json�[0m
�[32m[2024-06-11 23:38:33,065][ INFO]�[0m - Loading configuration file /home/aistudio/.paddlenlp/models/Qwen/Qwen2-7B-Instruct/generation_config.json�[0m
�[33m[2024-06-11 23:38:33,065][ WARNING]�[0m - Can't find generation config, so it will not use generation_config field in the model config�[0m
�[32m[2024-06-11 23:38:33,067][ INFO]�[0m - Start predict�[0m
Traceback (most recent call last):
File "/home/aistudio/work/PaddleNLP-develop/llm/predictor.py", line 1626, in <module>
predict()
File "/home/aistudio/work/PaddleNLP-develop/llm/predictor.py", line 1573, in predict
outputs = predictor.predict(batch_source_text)
File "/home/aistudio/work/PaddleNLP-develop/llm/predictor.py", line 252, in predict
predictions = self._infer(tokenized_source)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/base/dygraph/base.py", line 337, in _decorate_function
return func(*args, **kwargs)
File "/home/aistudio/work/PaddleNLP-develop/llm/predictor.py", line 299, in _infer
result = self.model.generate(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/base/dygraph/base.py", line 337, in _decorate_function
return func(*args, **kwargs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddlenlp/generation/utils.py", line 941, in generate
return self.sample(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddlenlp/generation/utils.py", line 1183, in sample
outputs = self(**model_inputs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1426, in __call__
return self.forward(*inputs, **kwargs)
TypeError: Qwen2ForCausalLM.forward() got an unexpected keyword argument 'output_router_logits'
sanbuphy
changed the title
[Bug]: output_router_logits
[Bug]: Qwen2ForCausalLM.forward() got an unexpected keyword argument 'output_router_logits'
Jun 12, 2024
软件环境
重复问题
错误描述
稳定复现步骤 & 代码
python predictor.py --model_name_or_path Qwen/Qwen2-7B-Instruct --dtype float16
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