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DrownFish19 avatar DrownFish19 commented on September 27, 2024 1

后续会支持自动转换模型参数,当前先给出转换脚本,临时使用。具体使用步骤根据模型不同,需要进行修改,请参考以下说明:

  1. 模型前缀。paddlenlp中使用的模型前缀为模型名称,例如Qwen2使用qwen2.,LLaMA使用llama.,HF使用的model.或者transformer.。可查看paddlenlp.transformers.XXX.modeling.LlamaPretrainedModel中的base_model_prefix。
  2. linear参数转置。Paddle和torch的linear实现不同,参数互为转置关系。需根据不同模型进行判断,具体可查找paddlenlp.transformers.XXX.modeling.XXXPretrainedModel中的mappings参数,其标注了需要进行转置的参数。例如llama模型为paddlenlp.transformers.llama.modeling.LlamaPretrainedModel

脚本:https://gist.github.com/DrownFish19/80b43383c9205ee1cf7cf35445009488

from paddlenlp.

sanbuphy avatar sanbuphy commented on September 27, 2024

后续会支持自动转换模型参数,当前先给出转换脚本,临时使用。具体使用步骤根据模型不同,需要进行修改,请参考以下说明:

  1. 模型前缀。paddlenlp中使用的模型前缀为模型名称,例如Qwen2使用qwen2.,LLaMA使用llama.,HF使用的model.或者transformer.。可查看paddlenlp.transformers.XXX.modeling.LlamaPretrainedModel中的base_model_prefix。
  2. linear参数转置。Paddle和torch的linear实现不同,参数互为转置关系。需根据不同模型进行判断,具体可查找paddlenlp.transformers.XXX.modeling.XXXPretrainedModel中的mappings参数,其标注了需要进行转置的参数。例如llama模型为paddlenlp.transformers.llama.modeling.LlamaPretrainedModel

脚本:https://gist.github.com/DrownFish19/80b43383c9205ee1cf7cf35445009488

Thanks !

from paddlenlp.

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