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BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF overview

BrazosDeDios/MedMO 4B Next Q4 K M GGUF This model was converted to GGUF format from MBZUAI/MedMO 4B Next https://huggingface.co/MBZUAI/MedMO 4B Next using llam…

transformersggufmedicalmultimodalgroundingreport-generationradiologyclinical-reasoningmricthistopathologyx-rayfundusllama-cppgguf-my-repoimage-text-to-textbase_model:MBZUAI/MedMO-4B-Nextbase_model:quantized:MBZUAI/MedMO-4B-Nextlicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~2.53 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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image-text-to-text

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Model Details

Model IDBrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF
AuthorBrazosDeDios
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelMBZUAI/MedMO-4B-Next
Last modified2026-07-27T11:44:24.000Z

Model README

---

license: apache-2.0

library_name: transformers

pipeline_tag: image-text-to-text

tags:

  • medical
  • multimodal
  • grounding
  • report-generation
  • radiology
  • clinical-reasoning
  • mri
  • ct
  • histopathology
  • x-ray
  • fundus
  • llama-cpp
  • gguf-my-repo

base_model: MBZUAI/MedMO-4B-Next

---

BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF

This model was converted to GGUF format from MBZUAI/MedMO-4B-Next using llama.cpp via the ggml.ai's GGUF-my-repo space.

Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF --hf-file medmo-4b-next-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF --hf-file medmo-4b-next-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF --hf-file medmo-4b-next-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF --hf-file medmo-4b-next-q4_k_m.gguf -c 2048

Run BrazosDeDios/MedMO-4B-Next-Q4_K_M-GGUF with guIDE

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