🧠 Jesteban247/brats_medgemma-GGUF
This repository provides GGUF-format variants of the fine-tuned modelJesteban247/brats_medgemma,
which originates from the BraTS (Brain Tumor Segmentation and TextBraTS) domain adaptation experiments detailed inJesteban247/medgemma-brats-experiments.
🧩 Model Description
These files are direct GGUF conversions of the brats_medgemma model, compatible with llama.cpp and the GGUF-my-repo conversion space.
The GGUF format allows efficient inference across CPU and GPU environments, offering a lightweight deployment option for medical visual-language applications such as MRI interpretation and radiology text reasoning.
🧮 Available Files
| File | Precision | Size | Description |
|---|---|---|---|
model_f16.gguf |
FP16 | 7.77 GB | Full-precision float16 version |
model_q8.gguf |
Q8_0 | 4.13 GB | Balanced quantization for accuracy and speed |
brats_medgemma-q5_k_m.gguf |
Q5_K_M | 2.83 GB | Medium quantization for balanced size and performance |
mmproj_model_f16.gguf |
FP16 | 851 MB | Multimodal projection weights (image-text alignment) |
🔗 Related Resources
- Base fine-tuned model:
Jesteban247/brats_medgemma - Training & adaptation experiments:
Jesteban247/medgemma-brats-experiments - GGUF conversion via: ggml.ai’s GGUF-my-repo
- Conversion tools: ggml-org/llama.cpp