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@@ -15,6 +15,16 @@ This repo contains a GGUF Quantized versions of the SFR-Iterative-DPO-Llama-3-8B
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  weights from:
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  [maldv/SFR-Iterative-DPO-LLaMA-3-8B-R](https://huggingface.co/maldv/SFR-Iterative-DPO-LLaMA-3-8B-R)
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  ## Introduction
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  We release a state-of-the-art instruct model of its class, **SFR-Iterative-DPO-LLaMA-3-8B-R**.
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  On all three widely-used instruct model benchmarks: **Alpaca-Eval-V2**, **MT-Bench**, **Chat-Arena-Hard**, our model outperforms all models of similar size (e.g., LLaMA-3-8B-it), most large open-sourced models (e.g., Mixtral-8x7B-it),
 
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  weights from:
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  [maldv/SFR-Iterative-DPO-LLaMA-3-8B-R](https://huggingface.co/maldv/SFR-Iterative-DPO-LLaMA-3-8B-R)
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+ ## Prompt format
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+
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+ ```
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+ <|start_header_id|>system<|end_header_id|>
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+ {system_prompt}<|eot_id|>
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+ <|start_header_id|>user<|end_header_id|>
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+ {prompt}<|eot_id|>
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+ <|start_header_id|>assistant<|end_header_id|>
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+
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+
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  ## Introduction
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  We release a state-of-the-art instruct model of its class, **SFR-Iterative-DPO-LLaMA-3-8B-R**.
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  On all three widely-used instruct model benchmarks: **Alpaca-Eval-V2**, **MT-Bench**, **Chat-Arena-Hard**, our model outperforms all models of similar size (e.g., LLaMA-3-8B-it), most large open-sourced models (e.g., Mixtral-8x7B-it),