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SmolVLM-Instruct-4bit

mlx-community/SmolVLM-Instruct-4bit
Vision + text · transformers
4-bit Open on Hugging Face
Parameters
2.2B
Weights (est.)
≈ 1.5 GB
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-Instruct-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
HuggingFaceTB/SmolVLM-Instruct (finetune)
Vendor
Hugging Face
Task
Vision + text
Quantisation
4-bit
Licence
apache-2.0
Downloads
696 in the last 30 days · 14K all time · 6 likes
Published
2024-11-26 · updated 2024-11-29 (1y ago)
Languages
en
Tags
idefics3

Other MLX builds of HuggingFaceTB/SmolVLM-Instruct

Build Quantisation Weights Mac memory Downloads
SmolVLM-Instruct-4bit (this one) 4-bit ≈ 1.5 GB 8 GB+ 696
SmolVLM-Instruct-6bit 6-bit ≈ 2.0 GB 8 GB+ 48
SmolVLM-Instruct-8bit 8-bit ≈ 2.5 GB 8 GB+ 63
SmolVLM-Instruct-bf16 bf16 ≈ 4.5 GB 8 GB+ 74