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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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GGUFs available [here](https://huggingface.co/arcee-ai/Arcee-Nova-GGUF)
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## Capabilities and Use Cases
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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
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## Future Directions
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As we release Arcee-Nova to the public, we look forward to seeing how researchers, developers, and businesses will leverage its capabilities
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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 custom generalist dataset mixture.
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GGUFs available [here](https://huggingface.co/arcee-ai/Arcee-Nova-GGUF)
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## Capabilities and Use Cases
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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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## Future Directions
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As we release Arcee-Nova to the public, we look forward to seeing how researchers, developers, and businesses will leverage its capabilities. We remain committed to advancing open source AI technology and invite the community to explore, contribute, and build upon Arcee-Nova.
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