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SmolVLM2 500M Video Instruct Mlx 4bit

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.

TypeText modelModèle de baseHuggingFaceTB/SmolLM2-360M-InstructVersionmodelBClasse

Source du modèle

Type
Text model
Taille du fichier
273 MB
Modèle de base
HuggingFaceTB/SmolLM2-360M-Instruct
Version
vmodel
Mis à jour
30 oct. 2026
Téléchargements
79
Source
Hugging Face

Description de la source

HuggingFaceTB/SmolVLM2-500M-Video-Instruct-mlx-4bit

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 \
  --image "" \
  --prompt "" \
  --model SmolVLM2-500M-Video-Instruct-mlx-4bit \

Sources

1 source
Hugging FacePrincipalVersion 31c9c3fbe7949794a30324b68e13340c1f868cab
huggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-mlx-4bit/tree/31c9c3fbe7949794a30324b68e13340c1f868cab

Vérifié 30 oct.

Download files

Model · 1 weight files

All files listed in the provider index are present.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · FP16 + U32 (tensor header) · 273 MB · SHA-256 336afd30a4d0…6dd2 · Hugging Face

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Extraits de sources

3 extraits

--- 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-4bit 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 \ --image "" \ --prompt "" \ --model SmolVLM2-500M-Video-Instruct-mlx-4bit \ ```

Source context: 79 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo josephnguyencse/SmolVLM2-500M-Video-Instruct-mlx-4bit

Source context: 16 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo josephnguyencse/SmolVLM2-500M-Video-Instruct-mlx-4bit