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README.md
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@@ -35,3 +35,18 @@ Our appreciation for the generous sponsors of Dolphin 3.0:
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- [Lazarus](https://www.lazarusai.com/) - provided 16x H100 for training
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- [Cerebras](https://cerebras.ai/) - provided excellent and fast inference services
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- [Andreessen Horowitz](https://a16z.com/) - provided a grant that make Dolphin 1.0 possible and enabled me to bootstrap my homelab
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- [Lazarus](https://www.lazarusai.com/) - provided 16x H100 for training
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- [Cerebras](https://cerebras.ai/) - provided excellent and fast inference services
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- [Andreessen Horowitz](https://a16z.com/) - provided a grant that make Dolphin 1.0 possible and enabled me to bootstrap my homelab
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Appreciation to the creators of the open source datasets that were used:
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- [OpenCoder-LLM](https://huggingface.co/OpenCoder-LLM) (opc-sft-stage1, opc-sft-stage2)
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- [microsoft](https://huggingface.co/OpenCoder-LLM) (orca-agentinstruct-1M-v1, orca-math-word-problems-200k)
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- [NousResearch](https://huggingface.co/NousResearch) (hermes-function-calling-v1)
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- [AI-MO](https://huggingface.co/AI-MO) (NuminaMath-CoT, NuminaMath-TIR)
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- [allenai](https://huggingface.co/allenai) (tulu-3-sft-mixture)
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- [HuggingFaceTB](https://huggingface.co/HuggingFaceTB) (smoltalk)
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- [m-a-p](https://huggingface.co/m-a-p) (CodeFeedback-Filtered-Instruction, Code-Feedback)
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Special thanks to
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- Meta, Qwen, and OpenCoder, who wrote papers that were instrumental in creating this.
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- [RLHFlow](https://huggingface.co/RLHFlow) for the excellent reward model used to filter the datasets
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