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FastVLM 1.5B 4bit G32 Mxfp4 Mixed 4 8 Mlx

This model was converted to MLX format from apple/FastVLM-1.5B using mlx-vlm version 0.6.5. Refer to the original model card for more details on the model.

TypeText modelModèle de baseapple/FastVLM-1.5BVersionmodelBClasse

Source du modèle

Type
Text model
Taille du fichier
1,25 GB
Modèle de base
apple/FastVLM-1.5B
Version
vmodel
Mis à jour
18 sept. 2026
Téléchargements
55
Source
Hugging Face

Extrait de la source

This model was converted to MLX format from apple/FastVLM-1.5B using mlx-vlm version 0.6.5. Refer to the original model card for more details on the model.

Sources

1 source
Hugging FacePrincipalVersion ae69c6a03cb5685d9185741dd6f9161b90e74f48
huggingface.co/EZCon/FastVLM-1.5B-4bit-g32-mxfp4-mixed_4_8-mlx/tree/ae69c6a03cb5685d9185741dd6f9161b90e74f48

Vérifié 3 sept.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 1,25 GB · SHA-256 aeee8207d391…fc52 · Hugging Face

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Extraits de sources

2 extraits

--- license: apple-amlr library_name: mlx tags: - transformers - mlx pipeline_tag: image-text-to-text base_model: apple/FastVLM-1.5B --- # EZCon/FastVLM-1.5B-4bit-g32-mxfp4-mixed_4_8-mlx This model was converted to MLX format from [`apple/FastVLM-1.5B`](https://huggingface.co/apple/FastVLM-1.5B) using mlx-vlm version **0.6.5**. Refer to the [original model card](https://huggingface.co/apple/FastVLM-1.5B) for more details on the model. ## Use with mlx ```bash pip install -U mlx-vlm ``` ```bash python -m mlx_vlm.generate --model EZCon/FastVLM-1.5B-4bit-g32-mxfp4-mixed_4_8-mlx --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> ```

Source context: 55 downloads · 0 likes · Pipeline image-text-to-text · Library mlx · Repo EZCon/FastVLM-1.5B-4bit-g32-mxfp4-mixed_4_8-mlx