license: apache-2.0
language:
- uk
- en
pipeline_tag: text-generation
tags:
- ukrainian
- medical
- cardiology
Model Details
license: apache-2.0 language: - uk - en base_model: google/gemma-3-4b-it library_name: gguf pipeline_tag: text-generation tags: - medical - cardiology - gemma-3 - quantized
Gemma-3-4B-Amosov-v1-GGUF
Model Overview
This repository contains the GGUF quantized version of Gemma-3-4B-Amosov-v1, a specialized medical LLM based on the Google Gemma-3-4B-IT architecture.
The model is specifically fine-tuned to automate cardiological recommendations and clinical decision support according to the protocols . It has been trained on a specialized dataset of 12,000+ medical records and epicrises, focusing on Ischemic Heart Disease (IHD) and Atrial Fibrillation.
Quantization Details
- File:
gemma-amosov-Q4_K_M.gguf - Method: Q4_K_M (Llama.cpp k-quants)
- Original Precision: BF16
- Description: 4-bit quantization that offers a significant reduction in model size and memory usage while maintaining high accuracy and reasoning capabilities.
Architecture Highlights
- Base Model: Gemma-3-4B-IT
- Context Length: 131,072 tokens (Max Position Embeddings)
- Model Type: gemma3 (Gemma3ForConditionalGeneration)
1. Requirements
To run this model, you need llama.cpp or any GGUF-compatible software (LM Studio, Jan, Ollama).
2. Recommended Inference Settings
Based on the fine-tuning process, the following parameters are recommended for medical accuracy:
- Temperature: 0.01 (near-deterministic)
- Do Sample: False
- Repetition Penalty: 1.3
- Top-P: 0.9
3. Prompt Template (Gemma 3)
The model expects the standard Gemma 3 chat format. If a system prompt is used, it should be prepended to the first user message:
<start_of_turn>user
{system_prompt}
{user_query}<end_of_turn>
<start_of_turn>model
Example System Prompt:
"You are a cardiologist. Provide only clear medical recommendations based on clinical data. Do not include administrative or non-medical information."
Medical Disclaimer This model is a research tool and is intended for informational purposes only. It is not a licensed medical device. All outputs, medication dosages, or treatment plans generated by the model must be reviewed and verified by a qualified healthcare professional. Do not use this model for self-diagnosis or self-treatment.
Credits Base Model: google/gemma-3-4b-it
4. Limitations
- Optimized for cardiology and cardiac surgery
- Reduced accuracy outside these domains
- No vision capabilities (text-only MedGemma IT)
- May generate incomplete or generalized recommendations
5. Citing & Authors
If you use this model in your research, please cite:
@misc{Ostashko2025MedGemmaCardiology, title = {MedGemma-4B-Cardiology: A Domain-Finetuned Clinical LLM for Cardiology}, author = {Uaritm}, year = {2025}, url = {ai.esemi.org} }
Project homepage: https://ai.esemi.org
LicenseThe use of this model is subject to the terms of the original Gemma License. Please review and adhere to the associated licensing terms for the base model.