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.
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
Sources
1 sourceVérifié 30 oct.
Download files
Model · 1 weight files
All files listed in the provider index are present.
- model.safetensors.index.json · provider index
- config.json
- model.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactmodel.safetensors
safetensors · FP16 + U32 (tensor header) · 273 MB · SHA-256 336afd30a4d0…6dd2 · Hugging Face
Download fileExtraits de sources
3 extraits
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
