---

license: apache-2.0

language:

• en

tags:

• meetara
• meeTARA
• medgemma
• medical
• vision-language
• gguf
• instruction-tuned

base_model: google/medgemma-1.5-4b-it

pipeline_tag: image-text-to-text

---

meeTARA MedGemma 1.5 4B IT (GGUF Multimodal Distribution)

meeTARA = Mental & Emotional Empathetic Technology for Adaptive Response & Assistance

This repository contains the quantized GGUF export of google/medgemma-1.5-4b-it with embedded meeTARA system guidance and multimodal vision projector support (mmproj).

Files in this Repository

| File | Description | Size |

| :--- | :--- | :--- |

| meetara-medgemma-1.5-4b-it-Q4_K_M.gguf | Primary 4-bit Quantized Medical LLM | 2.32 GB |

| meetara-vl-medgemma-1.5-4b-it.gguf | Multimodal Vision Projector (mmproj) | 0.79 GB |

---

How to Run

1. Multimodal Mode (Text + Medical Images / X-Rays)

To analyze medical images (e.g. X-rays, CT scans, skin lesions) alongside text prompts, load both the LLM and the vision projector:

Using llama.cpp (llama-mtmd-cli):

./llama-mtmd-cli \
  -m meetara-medgemma-1.5-4b-it-Q4_K_M.gguf \
  --mmproj meetara-vl-medgemma-1.5-4b-it.gguf \
  --image "path/to/xray.jpg" \
  -p "Describe the findings in this X-ray."

Using llama-cpp-python:

from llama_cpp import Llama

llm = Llama(
    model_path="meetara-medgemma-1.5-4b-it-Q4_K_M.gguf",
    chat_handler=your_mmproj_handler,
    n_ctx=4096,
)

---

2. Text-Only Medical Q&A Mode

For text-based medical inquiries, health education, and symptom explanation:

./llama-cli \
  -m meetara-medgemma-1.5-4b-it-Q4_K_M.gguf \
  -p "What are general self-care steps for a mild tension headache?"

---

Medical Disclaimer & Guidelines

• Educational & Support Use Only: This AI model provides general health information and image interpretation summaries for educational and clinical decision support purposes.
• Not a Diagnostic Tool: It is not a replacement for a licensed healthcare provider or board-certified radiologist.
• Emergency Situations: For urgent medical emergencies, immediately contact local emergency services.

---

Credits & License

• Base Model: Google DeepMind (google/medgemma-1.5-4b-it)
• GGUF Conversion & meeTARA Packaging: meeTARA Project
• License: Apache 2.0 / Health AI Terms