Skip to content
ModelListedExternal
Download

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.

Sourcehuggingface.co/josephnguyencse/SmolVLM2-500M-Video-Instruct-8bit/tree/6684cb21102b3bf920b2cb67e62855386afccaf5
KindText modelBase modelHuggingFaceTB/SmolLM2-360M-InstructVersionmodelBgrade

Model source

Kind
Text model
File size
515 MB
Base model
HuggingFaceTB/SmolLM2-360M-Instruct
Version
vmodel
Updated
Oct 24, 2026
Downloads
29
Source
Hugging Face

Source description

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 \

Sources

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

Verified Oct 24

Model artifacts

1 artifact

model.safetensors

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

Download file

Source excerpts

3 excerpts
ReadmeAug 6huggingface.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 \ ```

NoteOct 24huggingface.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

NoteAug 6huggingface.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