ModelPublicadoExterno

SmolVLM2 500M Video Instruct 8bit

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.

Fuentehuggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit/tree/6684cb21102b3bf920b2cb67e62855386afccaf5

TipoText modelModelo baseHuggingFaceTB/SmolLM2-360M-InstructVersiónmodelBcalidad

Fuente del modelo

Tipo: Text model
Tamaño del archivo: 515 MB
Modelo base: HuggingFaceTB/SmolLM2-360M-Instruct
Versión: vmodel
Actualizado: 24 oct 2026
Descargas: 29
Fuente: Hugging Face

Descripción de la fuente

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-8bit \

Fuentes

1 fuente

Hugging FacePrincipalVersión 6684cb21102b3bf920b2cb67e62855386afccaf5

huggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit/tree/6684cb21102b3bf920b2cb67e62855386afccaf5

Verificado 24 oct

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 515 MB · SHA-256 a465d3671bed…5e9d · Hugging Face

Download file

Extractos de fuentes

3 extractos

Readme6 agohuggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit

--- 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-8bit \ ```

Note24 octhuggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit

Source context: 29 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit

Note6 agohuggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit

Source context: 14 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit