lm-sys / lm-sys/FastChat

[Suggest] When to support Codestral

Open
#3,438 1 comment 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
39.5k
Forks
4.8k
PR merge metrics
No merged PRs in 30d

Description

I've manually added a conversation template and a model_adaptor template of Codestral:22b-v0.1, but when I call the model, it may be unable to stop response and have poor performance, but when I use Ollama it won't happen.
I prefer calling model through api, so please let me know if you're going to support this model, thank you for your efforts.

Contributor guide

No contributing guide indexed for this repository

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 by reviewing FastChat's conversation template and model_adaptor template for the manually added Codestral:22b-v0.1 configuration, then compare the API behavior with Ollama. Done means the model is officially supported through the API and responses stop correctly without the reported performance issue.

Written by the indexing model from the issue text.

Assessment

Tech stack
ollama, python
Domain
ai, backend-api-design
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.