Comments (1)
Btlmd
commented on July 21, 2024
目前，metadata 可用于 assistant 指明调用外部资源的类型。如 code interpreter 中为 interpreter，在工具调用时则为工具的名称。具体的格式约定可以参见 ChatGLM3 对话格式
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Related Issues (20)
- bug when running inference_hf.py after finetuning with lora.
- api模式下是不能实现工具调用吗？ HOT 1
- 执行了composition_demo，发现仅仅用了一个cpu去执行推理。速度非常慢。这个是什么原因导致的？ HOT 1
- 运行basic_demo下的web_demo_gradio.py程序报错ModuleNotFoundError: No module named 'peft' HOT 3
- langchain_demo中的那个是不是不是流式处理？
- ChatGLMForConditionalGeneration forward position_ids 参数哪里传入的？
- 从 chat 接口内部调用 generate 接口的处理逻辑看，使用上述拼接方式生成的 input_ids 不符合你们对于特殊符（如<|user|>、<|assistant|>）的 id 定义，这部分是否只是为了兼容通用的 generate 接口？且存在对模型性能的损失？ HOT 3
- 使用chatglm.cpp调用chatglm3-6b-32k时，非常容易触发无限循环的问题，repetition_penalty设置为2依然没有效果 HOT 1
- openai_api_request.py运行不成功 HOT 1
- Getting requirements to build wheel did not run successfully. HOT 1
- ChatGLM3-6b微调之后再运行就会出错 HOT 1
- 但是这样做代码会自动复原，加入的代码就被冲刷掉了> 请问你解决了吗？ HOT 1
- 使用finetune_demo/finetune_hf.py的lora微调之后，用finetune_demo/inference_hf.py做推理了的时候加载权重后无反应 HOT 3
- 用这里的ChatGLM3 + 魔搭社区的ChatGLM3-6B的模型在阿里云微调官方示例，但Running Evaluation时出错，请求指导。 HOT 6
- 运行 api_server.py ， 请求返回异常 HOT 2
- 数据读取时的问题
- inconsistent `tool_def` in examples
- 微调中途报错BatchEncoding.to() got an unexpected keyword argument 'non_blocking' HOT 2
- finetune_hf.py中的resume_from_checkpoint部分可能存在影响性能以及值得改进的地方 HOT 3
- openai_api 怎么配置多gpu启动？ HOT 1
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