Quantization made by Richard Erkhov.
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.
