metadata
license: llama2
library_name: transformers
tags:
- mergekit
- merge
base_model:
- lmsys/vicuna-7b-v1.5
- meta-math/MetaMath-Llemma-7B
merge
This is a merge of pre-trained language models created using mergekit. Model merge (slerp) based on lmsys/vicuna-7b-v1.5 and meta-math/MetaMath-Llemma-7B
Vicuna
Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- Developed by: LMSYS
- Model type: An auto-regressive language model based on the transformer architecture
- License: Llama 2 Community License Agreement
- Finetuned from model: Llama 2
Model Sources
- Repository: https://github.com/lm-sys/FastChat
- Blog: https://lmsys.org/blog/2023-03-30-vicuna/
- Paper: https://arxiv.org/abs/2306.05685
- Demo: https://chat.lmsys.org/
MetaMath Llemma
Model Details
MetaMath-Llemma-7B is fully fine-tuned on the MetaMathQA datasets and based on the powerful Llemma-7B model. It is glad to see using MetaMathQA datasets and change the base model from llama-2-7B to Llemma-7B can boost the MATH performance from 19.8 to 30.0.