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Jesteban247/brats_medgemma-GGUF
brats_medgemma-GGUF is a visual question answering model from Jesteban247. Use it for the visual question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This repository provides GGUF-format variants of the fine-tuned model Jesteban247/bratsmedgemma, which originates from the BraTS (Brain Tumor Segmentation and TextBraTS) domain adaptation experiments detailed in Jeste…
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.gguf15.6 GB · 100%
From the Hugging Face model README
This repository provides GGUF-format variants of the fine-tuned model
Jesteban247/brats_medgemma,
which originates from the BraTS (Brain Tumor Segmentation and TextBraTS) domain adaptation experiments detailed in
Jesteban247/medgemma-brats-experiments.
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.
| 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) |
Jesteban247/brats_medgemmaJesteban247/medgemma-brats-experiments