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README.md
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**🤖 #1 Open-source model on MT-bench scoring 7.81, outperforming 70B models 🤖**
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<img src="https://raw.githubusercontent.com/imoneoi/openchat/
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OpenChat is an innovative library of open-source language models, fine-tuned with [C-RLFT](https://arxiv.org/pdf/2309.11235.pdf) - a strategy inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT, even with a 7B model. Despite our simple approach, we are committed to developing a high-performance, commercially viable, open-source large language model, and we continue to make significant strides toward this vision.
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**🤖 #1 Open-source model on MT-bench scoring 7.81, outperforming 70B models 🤖**
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<div style="display: flex; justify-content: center; align-items: center">
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<img src="https://raw.githubusercontent.com/imoneoi/openchat/imoneoi-add-grok-baseline/assets/openchat.png" style="width: 45%;">
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<img src="https://raw.githubusercontent.com/imoneoi/openchat/imoneoi-add-grok-baseline/assets/openchat_grok.png" style="width: 45%;">
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</div>
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OpenChat is an innovative library of open-source language models, fine-tuned with [C-RLFT](https://arxiv.org/pdf/2309.11235.pdf) - a strategy inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT, even with a 7B model. Despite our simple approach, we are committed to developing a high-performance, commercially viable, open-source large language model, and we continue to make significant strides toward this vision.
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