Crystalcareai
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Update README.md
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README.md
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Arcee-Nova is our highest performing open source model. Evaluated on the same stack as the OpenLLM Leaderboard 2.0, making it the top-performing open source model tested on that stack. Its performance approaches that of GPT-4 from May 2023, marking a significant milestone.
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Nova is a merge of Qwen2-72B-Instruct with a custom model tuned on a
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GGUFs available [here](https://huggingface.co/arcee-ai/Arcee-Nova-GGUF)
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## Evaluations
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<div align="center">
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<img src="https://i.ibb.co/
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</div>
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[Additional evaluation charts and scores to be added here]
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## Acknowledgments
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We extend our gratitude to the open source AI community, whose collective efforts have paved the way for Arcee-Nova. Their commitment to transparency and collaboration continues to drive innovation. We also would like to extend our thanks to the Qwen team - without Qwen2-72B this would not be possible.
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Arcee-Nova is our highest performing open source model. Evaluated on the same stack as the OpenLLM Leaderboard 2.0, making it the top-performing open source model tested on that stack. Its performance approaches that of GPT-4 from May 2023, marking a significant milestone.
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Nova is a merge of Qwen2-72B-Instruct with a custom model tuned on a generalist dataset mixture.
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GGUFs available [here](https://huggingface.co/arcee-ai/Arcee-Nova-GGUF)
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## Evaluations
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<div align="center">
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<img src="https://i.ibb.co/qdtYLw5/Screenshot-2024-07-18-at-1-21-23-PM.png" alt="Arcee Nova OpenLLM-2.0" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
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</div>
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## Acknowledgments
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We extend our gratitude to the open source AI community, whose collective efforts have paved the way for Arcee-Nova. Their commitment to transparency and collaboration continues to drive innovation. We also would like to extend our thanks to the Qwen team - without Qwen2-72B this would not be possible.
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