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FASTCHAT

Open platform for training, serving, and evaluating LLMs

Apache-2.0

ABOUT

Deploying and serving large language models in production requires managing model workers, handling concurrent requests, and providing a user interface — all tasks that demand significant infrastructure work. FastChat gives teams a production-ready serving system with model parallelism, OpenAI-compatible API endpoints, and a built-in web UI so they can deploy LLMs for interactive use or API access without building custom serving infrastructure.

INSTALL
pip3 install "fschat[model_worker,webui]"

INTEGRATION GUIDE

1. Serve open-source LLMs behind an OpenAI-compatible REST API for application integration 2. Host multi-model chat platforms with concurrent users, model workers, and load balancing 3. Evaluate and compare LLM outputs side-by-side through a web-based arena interface 4. Fine-tune models using the built-in training scripts for domain-specific adaptation 5. Run models with model parallelism across multiple GPUs for serving large parameter counts

TAGS

llmservinginferencechatvicunamodel-servingopen-sourcepython
FastChat — AI Tool | Agentic AI For Good