Upload README.md

README.md

@@ -1,3 +1,63 @@
----
-license: mit
----
+---
+base_model:
+- ruslanmv/ai-medical-model-32bit
+- Locutusque/Llama-3-Hercules-5.0-8B
+- refuelai/Llama-3-Refueled
+library_name: transformers
+tags:
+- mergekit
+- merge
+- medical
+- custom
+license: mit
+language:
+- en
+datasets:
+ - ruslanmv/ai-medical-chatbot
+ - Locutusque/hercules-v5.0
+---
+# Medichat-V2-Llama3-8B 
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+This model is particularly effective in **structuring** the unstructured clinical texts.
+
+### Model Composition and Features:
+1. **Base Model**: The foundation of this model is based on "refuelai/Llama-3-Refueled," which itself is a refined version of the Llama3-8B model, renowned for its instruction-following capabilities and adaptability across various domains.
+
+2. **Merged Models**:
+   - **ruslanmv/ai-medical-model-32bit**: A model fine-tuned specifically for answering technical medical questions, providing a solid base of medical knowledge.
+   - **Locutusque/Llama-3-Hercules-5.0-8B**: Known for its ability to follow complex instructions and handle conversational interactions effectively, especially in scientific and technical contexts.
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ruslanmv/ai-medical-model-32bit](https://huggingface.co/ruslanmv/ai-medical-model-32bit)
+* [Locutusque/Llama-3-Hercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-Hercules-5.0-8B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+models:
+  - model: Locutusque/Llama-3-Hercules-5.0-8B
+    parameters:
+      weight: [0.25, 0.35, 0.45, 0.35, 0.25]
+      density: [0.1, 0.25, 0.5, 0.25, 0.1]
+  - model: refuelai/Llama-3-Refueled
+  - model: ruslanmv/ai-medical-model-32bit
+    parameters:
+      weight: [0.55, 0.45, 0.35, 0.45, 0.55]
+      density: [0.1, 0.25, 0.5, 0.25, 0.1]
+merge_method: dare_ties
+base_model: refuelai/Llama-3-Refueled
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```