ModelPrésentéExterne

SmolVLM2 500M Video Instruct Mlx 8bit Skip Vision

This model was converted to MLX format from HuggingFaceTB/SmolVLM2-500M-Video-Instruct using mlx-vlm version 0.1.13. Refer to the original model card for more details on the model.

Sourcehuggingface.co/mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision/tree/30d4d6a9392ec833b97f2abb484a3eccb1205bd9

TypeText modelModèle de baseHuggingFaceTB/SmolLM2-360M-InstructVersionmodelBClasse

Source du modèle

Type: Text model
Taille du fichier: 592 MB
Modèle de base: HuggingFaceTB/SmolLM2-360M-Instruct
Version: vmodel
Mis à jour: 3 oct. 2026
Téléchargements: 213
Source: Hugging Face

Description de la source

HuggingFaceTB/SmolVLM2-500M-Video-Instruct-mlx

This model was converted to MLX format from HuggingFaceTB/SmolVLM2-500M-Video-Instruct using mlx-vlm version 0.1.13. Refer to the original model card for more details on the model.

Use with mlx

pip install -U mlx-vlm

python -m mlx_vlm.generate --model mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision --image https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg --prompt "Can you describe this image?"

Sources

1 source

Hugging FacePrincipalVersion 30d4d6a9392ec833b97f2abb484a3eccb1205bd9

huggingface.co/mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision/tree/30d4d6a9392ec833b97f2abb484a3eccb1205bd9

Vérifié 21 août

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 592 MB · SHA-256 b290154d8c4c…b820 · Hugging Face

Download file

Extraits de sources

2 extraits

Readme21 aoûthuggingface.co/mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision

--- library_name: transformers license: apache-2.0 datasets: - HuggingFaceM4/the_cauldron - HuggingFaceM4/Docmatix pipeline_tag: video-text-to-text language: - en base_model: - HuggingFaceTB/SmolLM2-360M-Instruct - google/siglip-base-patch16-512 - HuggingFaceTB/SmolVLM2-500M-Video-Instruct tags: - mlx --- # HuggingFaceTB/SmolVLM2-500M-Video-Instruct-mlx This model was converted to MLX format from [`HuggingFaceTB/SmolVLM2-500M-Video-Instruct`]() using mlx-vlm version **0.1.13**. Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct) for more details on the model. ## Use with mlx ```bash pip install -U mlx-vlm ``` ```bash python -m mlx_vlm.generate --model mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision --image https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg --prompt "Can you describe this image?" ```

Note21 aoûthuggingface.co/mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision

Source context: 213 downloads · 5 likes · Pipeline video-text-to-text · Library transformers · Repo mlx-community/SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision