---
base_model: google/medgemma-4b-it
inference: false
library_name: transformers
license: other
license_name: health-ai-developer-foundations
license_link: https://developers.google.com/health-ai-developer-foundations/terms
model_creator: Google
model_name: medgemma-4b-it
quantized_by: Second State Inc.
pipeline_tag: image-text-to-text
tags:
  - medical
  - radiology
  - clinical-reasoning
  - dermatology
  - pathology
  - ophthalmology
  - chest-x-ray
---

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# medgemma-4b-it-GGUF

## Original Model

[google/medgemma-4b-it](https://huggingface.co/google/medgemma-4b-it)

## Run with LlamaEdge

- LlamaEdge version: [v0.18.5](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.18.5) and above

- Prompt template

  - Prompt type: `gemma-3`

  - Prompt string

    ```text
    <bos><start_of_turn>user
    {user_message}<end_of_turn>
    <start_of_turn>model
    {model_message}<end_of_turn>model
    ```

- Context size: `128000`

- Run as LlamaEdge service

  - Chat

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:medgemma-4b-it-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template gemma-3 \
      --ctx-size 128000 \
      --model-name medgemma-4b
    ```

  - Images

    **Note that input images are required to be normalized to 896 x 896 resolution and encoded to 256 tokens each**

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:medgemma-4b-it-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template gemma-3 \
      --llava-mmproj medgemma-4b-it-mmproj-f16.gguf \
      --ctx-size 128000 \
      --model-name medgemma-4b
    ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:medgemma-4b-it-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template gemma-3 \
    --ctx-size 128000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [medgemma-4b-it-Q2_K.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q2_K.gguf)     | Q2_K   | 2 | 1.73 GB| smallest, significant quality loss - not recommended for most purposes |
| [medgemma-4b-it-Q3_K_L.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 2.24 GB| small, substantial quality loss |
| [medgemma-4b-it-Q3_K_M.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 2.10 GB| very small, high quality loss |
| [medgemma-4b-it-Q3_K_S.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 1.94 GB| very small, high quality loss |
| [medgemma-4b-it-Q4_0.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q4_0.gguf)     | Q4_0   | 4 | 2.36 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [medgemma-4b-it-Q4_K_M.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 2.49 GB| medium, balanced quality - recommended |
| [medgemma-4b-it-Q4_K_S.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 2.38 GB| small, greater quality loss |
| [medgemma-4b-it-Q5_0.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q5_0.gguf)     | Q5_0   | 5 | 2.76 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [medgemma-4b-it-Q5_K_M.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 2.83 GB| large, very low quality loss - recommended |
| [medgemma-4b-it-Q5_K_S.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 2.76 GB| large, low quality loss - recommended |
| [medgemma-4b-it-Q6_K.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q6_K.gguf)     | Q6_K   | 6 | 3.19 GB| very large, extremely low quality loss |
| [medgemma-4b-it-Q8_0.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-Q8_0.gguf)     | Q8_0   | 8 | 4.13 GB| very large, extremely low quality loss - not recommended |
| [medgemma-4b-it-f16.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-f16.gguf)       | f16   | 16 | 7.77 GB|  |
| [medgemma-4b-it-mmproj-f16.gguf](https://huggingface.co/second-state/medgemma-4b-it-GGUF/blob/main/medgemma-4b-it-mmproj-f16.gguf)       | f16   | 16 | 851 MB|  |

*Quantized with llama.cpp b5452*