---
title: diffusiongemma-26B-A4B-it-6bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/diffusiongemma-26B-A4B-it-6bit"
md_url: "https://www.modelscope.cn/models/mlx-community/diffusiongemma-26B-A4B-it-6bit.md"
repository: mlx-community/diffusiongemma-26B-A4B-it-6bit
last_updated: 2026-07-15
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - diffusion_gemma
architectures:
  - DiffusionGemmaForBlockDiffusion
base_model:
  - google/diffusiongemma-26B-A4B-it
base_model_relation: quantized
parameters: 6.2B
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 54
stars: 0
tags:
  - mlx
---

# diffusiongemma-26B-A4B-it-6bit

> diffusiongemma-26B-A4B-it-6bit - mlx-community 在 ModelScope 开源的模型。mlx-community/diffusiongemma-26B-A4B-it-6bit

mlx-community/diffusiongemma-26B-A4B-it-6bit 是 ModelScope 魔搭社区上的 6.2B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 google/diffusiongemma-26B-A4B-it 构建。

- **Repository**: mlx-community/diffusiongemma-26B-A4B-it-6bit
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 6.2B
- **Base model**: google/diffusiongemma-26B-A4B-it
- **Tags**: mlx
- **Downloads**: 54
- **Stars**: 0
- **Last updated**: 2026-07-15

Source: https://www.modelscope.cn/models/mlx-community/diffusiongemma-26B-A4B-it-6bit

---

# mlx-community/diffusiongemma-26B-A4B-it-6bit

This model was converted to MLX format from [`google/diffusiongemma-26B-A4B-it`](https://huggingface.co/google/diffusiongemma-26B-A4B-it)
using mlx-vlm version **0.6.3**.
Refer to the [original model card](https://huggingface.co/google/diffusiongemma-26B-A4B-it) for more details on the model.

## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/diffusiongemma-26B-A4B-it-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```