ColossalChat

Open-source chat model by Colossal-AI

4.2| Editor Rating

Editor Review

ColossalChat is the first full RLHF open-source implementation; SFT to reward model to PPO reproducible. 4GB GPU for 4-bit inference; low deployment barrier. bilingual dataset and training code open; GitHub stars. Colossal-AI post-training toolbox supports fine-tuning DeepSeek/R1. Best suited for researchers reproducing RLHF, SMBs deploying private chat models, and developers needing interpretable training.

AI Tools Navigator Editorial TeamUpdated: 2026-02-11

What is ColossalChat

ColossalChat is an open-source chat model by Colossal-AI. The first project with full RLHF pipeline: supervised fine-tuning, reward model training, and reinforcement learning. Offers bilingual dataset, / parameter models, and 4-bit quantized inference on 4GB GPU.

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Basic Info

Category:

Best For

DevelopersResearchers

Difficulty: Intermediate

ColossalChat Key Features

Full RLHF Pipeline
Open-source SFT, reward model, and RL (PPO) training code
Low-resource Inference
model 4-bit inference on 4GB GPU
Bilingual Dataset
Chinese-English dialogue dataset for high-quality fine-tuning

ColossalChat Key Advantages

First full RLHF open-source; closest to ChatGPT paper
4-bit on 4GB GPU; low deployment barrier
dataset and code open; GitHub stars

ColossalChat Use Cases

RLHF Research
Researchers use full RLHF pipeline to reproduce and experiment with ChatGPT-style training
Private Chat Deployment
Enterprises deploy ColossalChat on-prem or private cloud for data security