Quantization made by Richard Erkhov.
This is a Vicuna-like model with only 68M parameters, which is fine-tuned from
LLaMA-68m on
ShareGPT data.
The training setup follows the
Vicuna suite.
The model is mainly developed as a base Small Speculative Model in the
MCSD paper. As a comparison, it can be better aligned to the Vicuna models than LLaMA-68m with little loss of alignment to the LLaMA models.
