要解决 "cannot use apply_chat_template() because tokenizer.chat_template is not set" 的问题,您可以按照以下步骤进行: 1. 确认 tokenizer 对象是否已正确初始化 确保您已经正确加载了 tokenizer 对象。通常,这是通过 AutoTokenizer.from_pretrained() 方法完成的,如下所示: python from transformers import Auto...
For a lot of tokenizers in Tokenizer.apply_chat_template with continue_final_message=True we get a "ValueError: substring not found" if the final message starts or ends in some whitespace. Here is ...
if apply_chat_template: apply_chat_template = self.tokenizer.apply_chat_template if getattr(self.strategy.args, "tokenizer_chat_template", None): self.tokenizer.chat_template = getattr(self.strategy.args, "tokenizer_chat_template") tokenizer_chat_template = getattr(self.strategy.args, "tokenizer...
“No chat template is defined for this tokenizer”这个错误通常是由于分词器与模型不兼容、分词器加载问题或聊天模板文件缺失等原因引起的。通过确认分词器兼容性、检查分词器加载和初始化、检查聊天模板文件、更新或重新安装分词器和模板以及查看官方文档和社区支持,你应该能够解决这个问题,并顺利地使用ChatGLM3进行聊...
Description Added the option to use the tokenizer default chat template of the base model (the one loaded from tokenizer_config.json of the base model). This was done by adding an entry to the temp...
feat(xtask): 支持搜索昇腾硬件 c1457ef refactor(chat-template): 重构 chat-template 022271e perf(model-nv): 异步编译 kernel c742dc8 refactor: 直接调用算子库中的 mlp 算子 b8aaf70 style(common): 移除不再使用的代码 f567d84 refactor(tokenizer): 重构 ascii 解码实现 ...
纯c++的全平台llm加速库,支持python调用,chatglm-6B级模型单卡可达10000+token / s,支持glm, llama, moss基座,手机端流畅运行 - tokenizer没有chat_template的时候用fastllm生成prompt · ztxz16/fastllm@193fd06
the Gemma-2 2B base on custom-supervised data. I set the chat template to 'gemma'. But, I did not find the chat template contained in the tokenizer in the target ckpt dir. This leads to an error that the chat template is not set during inference (tokenizer.apply_chat_template(...)...
"modelUrl": "https://huggingface.co/01-ai/Yi-1.5-34B-Chat", "websiteUrl": "https://www.01.ai", "preprompt": "", "chatPromptTemplate": "{{preprompt}}{{#each messages}}{{#ifUser}}<|im_start|>user\\n{{content}}<|im_end|>\\n<|im_start|>assistant\\n{{/ifUser}}{{#if...
System Info llamafactory 版本是0.8.3, python版本3.10 Reproduction 使用例子中的yaml文件参数 Expected behavior qwen2-1.5微调训练后tokenizer_config.json中的chat_template值被改了。是有什么参数可以指定不改变chat_template的值吗? Others No response