---
title: gemma-4-26b-a4b-it-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/gemma-4-26b-a4b-it-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/gemma-4-26b-a4b-it-4bit.md"
repository: mlx-community/gemma-4-26b-a4b-it-4bit
last_updated: 2026-07-06
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - gemma4
architectures:
  - Gemma4ForConditionalGeneration
base_model:
  - google/gemma-4-26B-A4B-it
base_model_relation: quantized
parameters: 4.5B
tensor_type:
  - BF16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 3862
stars: 6
tags:
  - mlx
  - safetensors
  - gemma4
  - image-text-to-text
  - conversational
  - 4-bit
---

# gemma-4-26b-a4b-it-4bit

> gemma-4-26b-a4b-it-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/gemma-4-26b-a4b-it-4bit

mlx-community/gemma-4-26b-a4b-it-4bit 是 ModelScope 魔搭社区上的 4.5B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 google/gemma-4-26B-A4B-it 构建。

- **Repository**: mlx-community/gemma-4-26b-a4b-it-4bit
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 4.5B
- **Base model**: google/gemma-4-26B-A4B-it
- **Tags**: mlx, safetensors, gemma4, image-text-to-text, conversational, 4-bit
- **Downloads**: 3862
- **Stars**: 6
- **Last updated**: 2026-07-06

Source: https://www.modelscope.cn/models/mlx-community/gemma-4-26b-a4b-it-4bit

---

# mlx-community/gemma-4-26b-a4b-it-4bit

This model was converted to MLX format from [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it) at revision `20da991ab4afab98e8f910c4a2e8f4fbefc404ad`.

It was generated from the current `mlx-vlm` source checkout.

## Use with mlx-vlm

```bash
pip install -U mlx-vlm
mlx_vlm.generate --model mlx-community/gemma-4-26b-a4b-it-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```