lm-sys / lm-sys/FastChat

how to serve Gradio app on the cloud and run inference locally

Open
#3,408 0 comments 0 reactions 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

Hi!

I'm building my own LLM, and I would like to serve it with FastChat. My idea is to deploy the Gradio App on AWS or GCP, and run the LLM inference locally from my own cluster. Is this possible, how could I setup something like this? Were would I need to run the controller?

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

No file, test, or entry point is named. Start by mapping the FastChat Gradio app, controller, and local inference components against the proposed AWS or GCP deployment; done would be a clear, tested setup guide that explains where each component runs.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, gcp, python
Domain
ai, backend, cloud
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.