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.
Source du modèle
Extrait de la source
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 sourceVérifié 11 sept.
Artefacts du modèle
6 artefactsmodel-00001-of-00006.safetensors
safetensors · 4,83 GB · SHA-256 3692eceb262c…19b2 · Hugging Face
Téléchargermodel-00002-of-00006.safetensors
safetensors · 4,85 GB · SHA-256 a9f4fd5fe5df…d657 · Hugging Face
TéléchargerExtraits de sources
2 extraits--- 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> ```
model-00003-of-00006.safetensors
safetensors · 4,85 GB · SHA-256 3f89a5f70b45…36bc · Hugging Face
model-00004-of-00006.safetensors
safetensors · 4,85 GB · SHA-256 e72aa784f862…92ca · Hugging Face
Téléchargermodel-00005-of-00006.safetensors
safetensors · 4,85 GB · SHA-256 6b696a0ed00b…9dc1 · Hugging Face
Téléchargermodel-00006-of-00006.safetensors
safetensors · 1,84 GB · SHA-256 c816183275ad…079b · Hugging Face
TéléchargerSource context: 245 downloads · 14 likes · Pipeline image-text-to-text · Library mlx · Repo mlx-community/diffusiongemma-26B-A4B-it-8bit