README.md

metadata

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.

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 TIES merge method using refuelai/Llama-3-Refueled as a base.

Models Merged

The following models were included in the merge:

• ruslanmv/ai-medical-model-32bit
• Locutusque/Llama-3-Hercules-5.0-8B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Locutusque/Llama-3-Hercules-5.0-8B
    parameters:
      weight: [0.25, 0.45, 0.35, 0.45, 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, 0.25, 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