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
4 artefactsmodel-00001-of-00004.safetensors
safetensors · 4,86 GB · SHA-256 4e9e90d11166…833a · Hugging Face
Téléchargermodel-00002-of-00004.safetensors
safetensors · 4,99 GB · SHA-256 67508ed60a26…7ad2 · 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-4bit 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-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> ```
model-00003-of-00004.safetensors
safetensors · 5,00 GB · SHA-256 a360651889ed…9bad · Hugging Face
model-00004-of-00004.safetensors
safetensors · 574 MB · SHA-256 ead1033d8d09…ae5f · Hugging Face
TéléchargerSource context: 1252 downloads · 35 likes · Pipeline image-text-to-text · Library mlx · Repo mlx-community/diffusiongemma-26B-A4B-it-4bit