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Diffusiongemma 26B A4B It 8bit

This model was converted to MLX format from google/diffusiongemma-26B-A4B-it using mlx-vlm version 0.6.3. Refer to the original model card for more details on the model.

KindOtherBase modelgoogle/diffusiongemma-26B-A4B-itVersionRevision 7b95e38

Model source

Kind
Other
File size
1.84–4.85 GB
Base model
google/diffusiongemma-26B-A4B-it
Version
vRevision 7b95e38
Updated
Sep 25, 2026
Downloads
245
Source
Hugging Face

Source excerpt

This model was converted to MLX format from google/diffusiongemma-26B-A4B-it using mlx-vlm version 0.6.3. Refer to the original model card for more details on the model.

Sources

1 source
Hugging FacePrimaryVersion 7b95e3887078ba56283c24f2578d6e5a06b9d7e8
huggingface.co/mlx-community/diffusiongemma-26B-A4B-it-8bit/tree/7b95e3887078ba56283c24f2578d6e5a06b9d7e8

Verified Sep 11

Model artifacts

6 artifacts

model-00001-of-00006.safetensors

safetensors · 4.83 GB · SHA-256 3692eceb262c…19b2 · Hugging Face

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model-00002-of-00006.safetensors

safetensors · 4.85 GB · SHA-256 a9f4fd5fe5df…d657 · Hugging Face

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model-00003-of-00006.safetensors

safetensors · 4.85 GB · SHA-256 3f89a5f70b45…36bc · Hugging Face

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model-00004-of-00006.safetensors

safetensors · 4.85 GB · SHA-256 e72aa784f862…92ca · Hugging Face

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model-00005-of-00006.safetensors

safetensors · 4.85 GB · SHA-256 6b696a0ed00b…9dc1 · Hugging Face

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model-00006-of-00006.safetensors

safetensors · 1.84 GB · SHA-256 c816183275ad…079b · Hugging Face

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Source excerpts

2 excerpts

--- license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: image-text-to-text library_name: mlx base_model: google/diffusiongemma-26B-A4B-it tags: - mlx --- # mlx-community/diffusiongemma-26B-A4B-it-8bit 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-8bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> ```

Source context: 245 downloads · 14 likes · Pipeline image-text-to-text · Library mlx · Repo mlx-community/diffusiongemma-26B-A4B-it-8bit