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FastChat

Open-source platform for training, serving, and evaluating large language models — from the makers of Vicuna and Chatbot Arena

★ 39,489 GitHub Apache-2.0 llmservingchatbotvicunaevaluation LLM & Chat

Überblick

FastChat is the open-source platform behind Vicuna and Chatbot Arena (lmsys.org), built to train, serve, and evaluate LLMs. It started as a simple chatbot UI and grew into one of the most popular LLM serving frameworks, powering million-user platforms. FastChat supports multiple models simultaneously, provides OpenAI-compatible APIs, and includes tools for benchmarking and evaluation — all in one package.

Anforderungen

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  fastchat:
    image: localagi/fastchat:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/fastchat:/data

Bester VPS für FastChat →

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Anleitungen & Artikel

How to Deploy FastChat with Docker: Your Own LLM API in 10 Minutes

Step-by-step tutorial to deploy FastChat via Docker — from pulling the image to your first working LLM API. Real performance numbers, troubleshooting, and hard-earned tips included.

Jun 30, 2026

FastChat: I Spent a Weekend Trying to Host My Own ChatGPT Clone — Here Is What Worked

After trying vLLM, llama.cpp, and every serving framework in between, FastChat was the one that actually worked. Here is my honest experience with multi-model serving, evaluation, and deployment.

Jun 30, 2026