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An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

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搜了一圈issue,没找到相关的。 如题,是否可以发布docker,方便快速部署调试

feature request

- [x] This PR addresses a TODO in the `tokenize_ftdp_datasets.py` file. Solution: I used the `lstrip` method to remove all leading newline characters from the `content` string. This way, we...

Currently the trained llava model can only be used by CLI (without the ability to use new images) or tested using benchmark tools. How can we deploy it using API...

feature request

加载模型 & Chat 用例:`xtuner/model/auto.py` 训练 alpaca ``` # 把 alpaca 数据集转换为 openai 格式 json python xtuner/tools/convert_dataset.py tatsu-lab/alpaca alpaca --save-dir converted_alpaca xtuner train xtuner/configs/internlm/internlm2_chat_1_8b/example.py ```

great work! 请问如果使用多节点进行训练,有对应的指导文档吗?没有找到相关文档