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Advancing Open-source Language Models with Mixed-Quality Data

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OpenChat is dedicated to advancing and releasing **open-source language models**, fine-tuned with our [**C-RLFT**](https://arxiv.org/pdf/2309.11235.pdf) technique, which is inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with `ChatGPT`, which we were the first to beat with only `7B` parameter LLMs which can be run on a **consumer GPU (e.g. RTX 3090)**. # πŸ’ŒContact **Project Lead:** - Guan Wang [imonenext@gmail.com] - [Alpay Ariyak](https://github.com/alpayariyak) [alpay@ariyak.ai] **Sponsors:** - [Sen Song](https://scholar.google.com/citations?user=cYgtRP4AAAAJ) (Tsinghua University) - [Yang Liu](https://nlp.csai.tsinghua.edu.cn/~ly/) (Tsinghua University) - [01.AI Company](https://www.lingyiwanwu.com/en) - [RunPod](https://www.runpod.io/)