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Model description

This is a Vicuna-like model with only 160M parameters, which is fine-tuned from LLaMA-160m on ShareGPT data.

The training setup follows the Vicuna suite.

The model is mainly developed as a base Small Speculative Model in MCSD paper. As a comparison, it can be better aligned to the Vicuna models than LLaMA-160m with little loss of alignment to the LLaMA models.

Draft Model Target Model Alignment
LLaMA-68/160M LLaMA-13/33B πŸ˜ƒ
LLaMA-68/160M Vicuna-13/33B 😟
Vicuna-68/160M LLaMA-13/33B πŸ˜ƒ
Vicuna-68/160M Vicuna-13/33B πŸ˜ƒ
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162M params
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