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README.md
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<img src="https://huggingface.co/datasets/hkust-nlp/deita-images/resolve/main/logo-final.png" alt="Deita banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Model Card for Deita 7B V1.0 SFT
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Deita is an open-sourced project designed to facilitate **Automatic Data Selection** for instruction tuning in Large Language Models (LLMs).
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Deita 7B V1.0 SFT (6k) is a fine-tuned version of Mistral-7B-v0.1 that was trained on 6k automatically selected lightweight, high-quality alignment SFT data: [Deita 6K V0](https://huggingface.co/datasets/hkust-nlp/deita-6k-v0).
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| OpenChat-3.5 | C-RLFT | >70K C-RLFT | 7.81 | 88.51 | -- |
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| Starling-7B | C-RLFT + APA | >70K C-RLFT + 183K APA | 8.09 | 91.99 | -- |
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| Random | SFT | 10K SFT | 5.89 | 56.90 | 61.72 |
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| DEITA-7B-v1.0-sft
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| DEITA-7B-v1.0-sft | SFT | 10K SFT | 7.32 | 81.67 | 64.00 |
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| DEITA-7B-v1.0 | SFT + DPO | 6K SFT + 10K DPO | 7.55 | 90.06 | 69.86 |
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<img src="https://huggingface.co/datasets/hkust-nlp/deita-images/resolve/main/logo-final.png" alt="Deita banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Model Card for Deita 7B V1.0 SFT
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Deita is an open-sourced project designed to facilitate **Automatic Data Selection** for instruction tuning in Large Language Models (LLMs).
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Deita 7B V1.0 SFT (6k) is a fine-tuned version of Mistral-7B-v0.1 that was trained on 6k automatically selected lightweight, high-quality alignment SFT data: [Deita 6K V0](https://huggingface.co/datasets/hkust-nlp/deita-6k-v0).
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| OpenChat-3.5 | C-RLFT | >70K C-RLFT | 7.81 | 88.51 | -- |
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| Starling-7B | C-RLFT + APA | >70K C-RLFT + 183K APA | 8.09 | 91.99 | -- |
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| Random | SFT | 10K SFT | 5.89 | 56.90 | 61.72 |
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| DEITA-7B-v1.0-sft | SFT | 6K SFT | 7.22 | 80.78 | 64.94 |
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| DEITA-7B-v1.0-sft | SFT | 10K SFT | 7.32 | 81.67 | 64.00 |
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| DEITA-7B-v1.0 | SFT + DPO | 6K SFT + 10K DPO | 7.55 | 90.06 | 69.86 |
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