Update README.md

README.md

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 ---
+license: apache-2.0
+language:
+- en
 library_name: transformers
 tags:
 - 4-bit
@@ -10,6 +13,26 @@ pipeline_tag: text-generation
 inference: false
 quantized_by: Suparious
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-# 
+# IBI-CAAI/MELT-Mistral-3x7B-Instruct-v0.1 AWQ
 
-**UPLOAD IN PROGRESS**
+- Model creator: [IBI-CAAI](https://huggingface.co/IBI-CAAI)
+- Original model: [MELT-Mistral-3x7B-Instruct-v0.1](https://huggingface.co/IBI-CAAI/MELT-Mistral-3x7B-Instruct-v0.1)
+
+## Model Summary
+
+The MELT-Mistral-3x7B-Instruct-v0.1 Large Language Model (LLM) is a pretrained generative text model pre-trained and fine-tuned on using publically avalable medical data.
+
+MELT-Mistral-3x7B-Instruct-v0.1 demonstrated a average 19.7% improvement over Mistral-3x7B-Instruct-v0.1 (MoE of 3 X Mistral-7B-Instruct-v0.1) across 3 USMLE, Indian AIIMS, and NEET medical examination benchmarks.
+
+This is MoE model, thanks to [Charles Goddard](https://huggingface.co/chargoddard) for code/tools.
+
+The Medical Education Language Transformer (MELT) models have been trained on a wide-range of text, chat, Q/A, and instruction data in the medical domain.   
+
+While the model was evaluated using publically avalable [USMLE](https://www.usmle.org/), Indian AIIMS, and NEET medical examination example questions, its use it intented to be more broadly applicable.   
+
+- **Developed by:** [Center for Applied AI](https://caai.ai.uky.edu/)
+- **Funded by:** [Institute or Biomedical Informatics](https://www.research.uky.edu/IBI)
+- **Model type:** LLM
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Finetuned from model:** A MoE x 3 [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)