lm-sys / lm-sys/FastChat

Using gpt-4 or gpt-3.5-turbo as model worker

Open
#2,946 0 comments 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

We are trying to use FastChat (Chatbot Arena) for our internal benchmarking purpose. We are able to load a model worker using the following command:
```
python3 -m fastchat.serve.model_worker --model-path lmsys/vicuna-7b-v1.5
```
The above command is working fine. Now we would like to use `gpt-4 or gpt-3.5` as one of our model workers in our local setup.

How to do it? Kindly advise.

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

The relevant entry point mentioned is fastchat.serve.model_worker, with the existing lmsys/vicuna-7b-v1.5 invocation as the starting point. Read that worker's supported model-loading path and determine what configuration or integration would be required for gpt-4 or gpt-3.5; done should be a verified local worker command or a documented limitation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai
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.