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- <div align="center">
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- <h1 style="font-size: 2em;">OpenChat </h1>
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- <h1 style="font-size: 1.50em;">Advancing Open-source Language Models with Mixed-Quality Data</h1>
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- <a href="https://huggingface.co/openchat/openchat_3.5" style="text-decoration: none; color: black; background-color: white; border-radius: 0.6em; padding: 0.03em 0.6em; display: inline-block; ">
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- <span style="color: black; font-weight: bold;">OPENCHAT</span>
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- <span style="color: #0056b3; font-weight: bold;">3.5</span>
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- </a>
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  <br>
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  <strong>πŸ”₯ First <u>7B</u> model that Achieves Comparable Results with <u>ChatGPT</u> (March)!
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  πŸ”₯</strong>
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  <br>
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  <strong>πŸ† <u>#1</u> Open-source model on MT-bench scoring 7.81, outperforming <u>70B</u> models πŸ† </strong>
 
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  </p>
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  <div align="center" style="display: flex; justify-content: center; align-items: center;">
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- <img src="https://github.com/imoneoi/openchat/raw/master/assets/openchat.png" style="width: 35%; margin-right: 2%;">
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- <img src="https://github.com/imoneoi/openchat/raw/master/assets/openchat_grok.png" style="width: 37%;">
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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.
 
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+ <a href="https://huggingface.co/openchat/openchat_3.5" style="text-decoration: none; color: white">
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+ <span style="font-size: 1.8em; ">OpenChat 3.5</span>
 
 
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  <br>
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  <strong>πŸ”₯ First <u>7B</u> model that Achieves Comparable Results with <u>ChatGPT</u> (March)!
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  πŸ”₯</strong>
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  <br>
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  <strong>πŸ† <u>#1</u> Open-source model on MT-bench scoring 7.81, outperforming <u>70B</u> models πŸ† </strong>
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+ </a>
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  </p>
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  <div align="center" style="display: flex; justify-content: center; align-items: center;">
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+ <img src="https://github.com/imoneoi/openchat/raw/master/assets/openchat.png" style="width:45%; margin-right: 2%;">
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+ <img src="https://github.com/imoneoi/openchat/raw/master/assets/openchat_grok.png" style="width: 47%;">
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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.