Update README.md

README.md

@@ -1,3 +1,38 @@
----
-license: llama2
----
+---
+base_model:
+- lmsys/vicuna-7b-v1.5
+- meta-math/MetaMath-Llemma-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama2
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+Model merge (slerp) based on [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) and [meta-math/MetaMath-Llemma-7B](https://huggingface.co/meta-math/MetaMath-Llemma-7B)
+
+1. Vicuna
+
+    ## Model Details
+    
+    Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
+    
+    - **Developed by:** [LMSYS](https://lmsys.org/)
+    - **Model type:** An auto-regressive language model based on the transformer architecture
+    - **License:** Llama 2 Community License Agreement	
+    - **Finetuned from model:** [Llama 2](https://arxiv.org/abs/2307.09288)
+
+    ### 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/
+
+2. 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**.