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  **🤖 #1 Open-source model on MT-bench scoring 7.81, outperforming 70B models 🤖**
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  <div align="center" style="justify-content: center; align-items: center; "'>
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- <img src="https://github.com/alpayariyak/openchat/blob/master/assets/Untitled%20design-17.png?raw=true" style="width: 100%; border-radius: 0.5em">
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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 align="center" style="justify-content: center; align-items: center; "'>
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+ <img src="https://github.com/alpayariyak/openchat/blob/master/assets/3.5-benchmarks.png?raw=true" style="width: 100%; border-radius: 0.5em">
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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.