lm-sys/FastChat

Chat Arena version of fastchat-t5-3b-v1.0 provides more refined answers than standard Huggingface model.

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#1,264 创建于 2023年5月15日

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 (26 评论) (3 反应) (1 负责人)Python (38,959 star) (4,736 fork)batch import
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描述

Hello - I notice that the chat arena version of fastchat-t5-3b-v1.0 provides quite different answers from the model compared to when it is downloaded manually and run using fastchat.serve.cli --model-path lmsys/fastchat-t5-3b-v1.0. What is the reason for this difference? Are there any special prompt templates or prompt tuning that gives the chat arena version its better responses?

贡献者指南

技术栈
pythonpytorch
领域
machine learningai
议题类型
research
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
needs maintainer response
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
PythonFastChat basicsPrompt engineering basics
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
Investigate the differences between the Chat Arena version and standard Huggingface model of fastchat t5-3b v1.0. Check the FastChat source code for any special prompt templates or prompt tuning used in the arena mode (e.g., files like fastchat/serve/ or fastchat/train/). Look at the model card and any configuration differences. Consider the discussion in the issue comments for hints.
Chat Arena version of fastchat-t5-3b-v1.0 provides more refined answers than standard Huggingface model. · lm-sys/FastChat#1264 | Good First Issue