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An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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Hello, I using default target_modules `q_proj, v_proj` the result looks good. Will it more good if I using more target_modules trainable? such as : ``` "q_proj", "v_proj", "down_proj", "gate_proj", "up_proj",...

path: https://github.com/lm-sys/FastChat/tree/main/fastchat/eval issue: missing field "metadata" example: { "reviewer_id":"gpt-4-0328-default", "prompt_id":1, "metadata":{ "temperature":0.2, "max_tokens":8192 }, "description":"GPT-4 for general questions", "category":"general" }

Hi, I'm training a FlanT5 network. The training completes successfully, but when I try to run a simple inference, I have a tensor of zeros, so the prediction is null....

Hi team, I use the command below without changing the delta-path and it was automatically downloaded. It still takes effective when I rerun the command but I just wonder where...

When using parallel computing with multiple GPUs, if I set "--num-gpus 4," only three GPUs are actually activated. How can I solve this issue?

Currently the weights saved are all models weights include optimzier, is HUGE, how to set save lora weights only? ![image](https://github.com/lm-sys/FastChat/assets/21303438/10a25a97-0906-4aab-b4f7-19a9f1e011ad)