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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 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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  ## Performance
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- <details>
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- <summary>See full evaluations</summary>
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  | Model | Align | Data Size | MT-Bench | AlpacaEval(%) | OpenLLM (Avg.) |
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  |------------------------------------------------|-----------|------------|----------|---------------|----------------|
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  | DEITA-7B-v1.0 | SFT + DPO | 6K SFT + 10K DPO | 7.55 | 90.06 | 69.86 |
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- </details>
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  ## Input Format
 
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  # Model Card for Deita 7B V1.0 SFT
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+ [GitHub](https://github.com/hkust-nlp/deita) | [Paper](https://arxiv.org/abs/2312.15685)
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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 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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  ## Performance
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  | Model | Align | Data Size | MT-Bench | AlpacaEval(%) | OpenLLM (Avg.) |
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  |------------------------------------------------|-----------|------------|----------|---------------|----------------|
 
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  | DEITA-7B-v1.0 | SFT + DPO | 6K SFT + 10K DPO | 7.55 | 90.06 | 69.86 |
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  ## Input Format