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SmolVLM-500M-Instruct-3bit

mlx-community/SmolVLM-500M-Instruct-3bit
Vision + text · transformers
3-bit Open on Hugging Face
Parameters
507M
Weights (est.)
≈ 223 MB
Mac memory (est.)
8 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/SmolVLM-500M-Instruct-3bit --image photo.jpg --prompt "Describe this image"

Details

Base model
HuggingFaceTB/SmolLM2-360M-Instruct (finetune)
Vendor
Hugging Face
Task
Vision + text
Quantisation
3-bit
Licence
apache-2.0
Downloads
47 in the last 30 days · 286 all time · 0 likes
Published
2025-01-23 · updated 2025-01-23 (1y ago)
Languages
en
Tags
idefics3

Other MLX builds of HuggingFaceTB/SmolLM2-360M-Instruct

Build Quantisation Weights Mac memory Downloads
SmolVLM-500M-Instruct-3bit (this one) 3-bit ≈ 223 MB 8 GB+ 47
SmolVLM-500M-Instruct-4bit 4-bit ≈ 287 MB 8 GB+ 385
SmolLM2-360M-Instruct-6bit 6-bit ≈ 294 MB 8 GB+ 103
SmolVLM-500M-Instruct-6bit 6-bit ≈ 413 MB 8 GB+ 44
SmolVLM2-256M-Video-Instruct-mlx — ≈ 513 MB 8 GB+ 717
SmolVLM-500M-Instruct-8bit 8-bit ≈ 540 MB 8 GB+ 56
SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision 8-bit ≈ 620 MB 8 GB+ 238
SmolLM2-360M-Instruct — ≈ 724 MB 8 GB+ 681
SmolLM2-360M-Instruct-bf16-mlx bf16 ≈ 724 MB 8 GB+ 63
SmolVLM2-500M-Video-Instruct-mlx — ≈ 1.0 GB 8 GB+ 5.3K
SmolVLM-500M-Instruct-bf16 bf16 ≈ 1.0 GB 8 GB+ 109