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Brats Medgemma GGUF

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...

KindOtherBase modelJesteban247/brats_medgemmaVersionRevision 229b791Bgrade

Model source

Kind
Other
File size
812 MB–7.23 GB
Base model
Jesteban247/brats_medgemma
Version
vRevision 229b791
Updated
Oct 23, 2026
Downloads
74
Source
Hugging Face

Source description

🧠 Jesteban247/brats_medgemma-GGUF

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.


🧩 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

FilePrecisionSizeDescription
model_f16.ggufFP167.77 GBFull-precision float16 version
model_q8.ggufQ8_04.13 GBBalanced quantization for accuracy and speed
brats_medgemma-q5_k_m.ggufQ5_K_M2.83 GBMedium quantization for balanced size and performance
mmproj_model_f16.ggufFP16851 MBMultimodal projection weights (image-text alignment)

🔗 Related Resources

Sources

1 source
Hugging FacePrimaryVersion 229b7919361149d411ecfcfb8ae3b9f906276352
huggingface.co/Jesteban247/brats_medgemma-GGUF/tree/229b7919361149d411ecfcfb8ae3b9f906276352

Verified Oct 23

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Model artifacts

4 artifacts

brats_medgemma-q5_k_m.gguf

gguf · 2.64 GB · SHA-256 d4e6b48acaab…9d2e · Hugging Face

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mmproj_model_f16.gguf

gguf · 812 MB · SHA-256 9f8d815185cf…dbca · Hugging Face

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model_f16.gguf

gguf · 7.23 GB · SHA-256 7c10e1608d13…3a1a · Hugging Face

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model_q8.gguf

gguf · 3.85 GB · SHA-256 011f2c2416fc…5186 · Hugging Face

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Source excerpts

3 excerpts

--- base_model: Jesteban247/brats_medgemma model_name: brats_medgemma-GGUF tags: - gguf - conversion - llama-cpp - ft - unsloth - medical-imaging - brain-tumor - brats - textbrats - medgemma license: apache-2.0 datasets: - Jupitern52/TextBraTS language: - en pipeline_tag: visual-question-answering library_name: transformers --- # 🧠 Jesteban247/brats_medgemma-GGUF This repository provides **GGUF-format variants** of the fine-tuned model [`Jesteban247/brats_medgemma`](https://huggingface.co/Jesteban247/brats_medgemma), which originates from the **BraTS (Brain Tumor Segmentation and TextBraTS)** domain adaptation experiments detailed in [`Jesteban247/medgemma-brats-experiments`](https://huggingface.co/Jesteban247/medgemma-brats-experiments). --- ## 🧩 Model Description These files are direct **GGUF conversions** of the `brats_medgemma` model, compatible with **[llama.cpp](https://github.com/ggml-org/llama.cpp)** and the **[GGUF-my-repo](https://huggingface.co/spaces/ggml-org/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`](https://huggingface.co/Jesteban247/brats_medgemma) - **Training & adaptation experiments:** [`Jesteban247/medgemma-brats-experiments`](https://huggingface.co/Jesteban247/medgemma-brats-experiments) - **GGUF conversion via:** ggml.ai’s [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) - **Conversion tools:** [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)

Source context: 74 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo Jesteban247/brats_medgemma-GGUF

Source context: 26 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo Jesteban247/brats_medgemma-GGUF