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@@ -11,7 +11,7 @@ This is a Vicuna-like model with only 160M parameters, which is fine-tuned from
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  The training setup follows the [Vicuna suite](https://github.com/lm-sys/FastChat).
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- The model is mainly developed as a base Small Speculative Model. As a comparison, it can be better aligned to the Vicuna models than LLaMA-160m with little loss of alignment to the LLaMA models.
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  | Draft Model | Target Model | Alignment |
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  | -------------- | ------------- | --------- |
 
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  The training setup follows the [Vicuna suite](https://github.com/lm-sys/FastChat).
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+ The model is mainly developed as a base Small Speculative Model in [MCSD paper](https://arxiv.org/pdf/2401.06706.pdf). As a comparison, it can be better aligned to the Vicuna models than LLaMA-160m with little loss of alignment to the LLaMA models.
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  | Draft Model | Target Model | Alignment |
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  | -------------- | ------------- | --------- |