lm-sys / lm-sys/FastChat

ChatGLM3-6b Compatibility is expected as soon as possible.

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Python
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Description

ChatGLM3-6B adopts a newly designed [Prompt format](https://github.com/THUDM/ChatGLM3/blob/main/PROMPT_en.md), supporting multi-turn dialogues as usual. It also natively supports [tool invocation](https://github.com/THUDM/ChatGLM3/blob/main/tools_using_demo/README_en.md) (Function Call), code execution (Code Interpreter), and Agent tasks in complex scenarios.

We have launched open source model API deployment code in OpenAI / ZhipuAI format, which can be used as the backend of any ChatGPT-based application. Currently, you can deploy by running [api_server.py](https://github.com/THUDM/ChatGLM3/blob/main/openai_api_demo/api_server.py) in the warehouse

project details: https://github.com/THUDM/ChatGLM3

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with ChatGLM3's openai_api_demo/api_server.py and the linked prompt and tool-invocation documentation to understand the compatibility surface. Then locate the corresponding FastChat model-serving entry point and define done as supporting ChatGLM3-6B's prompt format and stated API capabilities; the issue names no FastChat files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, backend
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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