Update README.md

README.md

@@ -1,4 +1,7 @@
 ---
+license: apache-2.0
+language:
+- en
 library_name: transformers
 tags:
 - 4-bit
@@ -6,6 +9,15 @@ tags:
 - text-generation
 - autotrain_compatible
 - endpoints_compatible
+- medical
+datasets:
+- Open-Orca/OpenOrca
+- pubmed
+- medmcqa
+- maximegmd/medqa_alpaca_format
+base_model: mistralai/Mistral-7B-v0.1
+metrics:
+- accuracy
 pipeline_tag: text-generation
 inference: false
 quantized_by: Suparious
@@ -15,7 +27,15 @@ quantized_by: Suparious
 - Model creator: [internistai](https://huggingface.co/internistai)
 - Original model: [base-7b-v0.2](https://huggingface.co/internistai/base-7b-v0.2)
 
+<img width=30% src="assets/logo.png" alt="logo" title="logo">
 
+## Model Summary
+
+Internist.ai 7b is a medical domain large language model trained by medical doctors to demonstrate the benefits of a **physician-in-the-loop** approach. The training data was carefully curated by medical doctors to ensure clinical relevance and required quality for clinical practice.
+
+**With this 7b model we release the first 7b model to score above the 60% pass threshold on MedQA (USMLE) and outperfoms models of similar size accross most medical evaluations.**
+
+This model serves as a proof of concept and larger models trained on a larger corpus of medical literature are planned. Do not hesitate to reach out to us if you would like to sponsor some compute to speed up this training.
 
 ## How to use