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YADAV0206/medgemma-4b-it-Q4_K_M-GGUF overview

YADAV0206/medgemma 4b it Q4 K M GGUF This model was converted to GGUF format from google/medgemma 4b it https://huggingface.co/google/medgemma 4b it using llam…

transformersggufmedicalradiologyclinical-reasoningdermatologypathologyophthalmologychest-x-rayllama-cppgguf-my-repoimage-text-to-textbase_model:google/medgemma-4b-itbase_model:quantized:google/medgemma-4b-itlicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~2.32 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDYADAV0206/medgemma-4b-it-Q4_K_M-GGUF
AuthorYADAV0206
Pipelineimage-text-to-text
Licenseother
Base modelgoogle/medgemma-4b-it
Last modified2026-07-08T02:21:51.000Z

Model README

---

license: other

license_name: health-ai-developer-foundations

license_link: https://developers.google.com/health-ai-developer-foundations/terms

library_name: transformers

pipeline_tag: image-text-to-text

extra_gated_heading: Access MedGemma on Hugging Face

extra_gated_prompt: To access MedGemma on Hugging Face, you're required to review

and agree to Health AI Developer Foundation's terms of use.

To do this, please ensure you're logged in to Hugging Face and click below. Requests

are processed immediately.

extra_gated_button_content: Acknowledge license

base_model: google/medgemma-4b-it

tags:

  • medical
  • radiology
  • clinical-reasoning
  • dermatology
  • pathology
  • ophthalmology
  • chest-x-ray
  • llama-cpp
  • gguf-my-repo

---

YADAV0206/medgemma-4b-it-Q4_K_M-GGUF

This model was converted to GGUF format from google/medgemma-4b-it 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 YADAV0206/medgemma-4b-it-Q4_K_M-GGUF --hf-file medgemma-4b-it-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo YADAV0206/medgemma-4b-it-Q4_K_M-GGUF --hf-file medgemma-4b-it-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 YADAV0206/medgemma-4b-it-Q4_K_M-GGUF --hf-file medgemma-4b-it-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo YADAV0206/medgemma-4b-it-Q4_K_M-GGUF --hf-file medgemma-4b-it-q4_k_m.gguf -c 2048

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