Parameters
2.2B
Weights (est.)
≈ 4.5 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/SmolVLM2-2.2B-Instruct-mlx --image photo.jpg --prompt "Describe this image"
Details
- Base model
- HuggingFaceTB/SmolVLM2-2.2B-Instruct (finetune)
- Vendor
- Hugging Face
- Task
- Vision + text
- Quantisation
- Not stated
- Licence
- apache-2.0
- Downloads
- 773 in the last 30 days · 6.1K all time · 10 likes
- Published
- 2025-02-12 · updated 2025-02-20 (1y ago)
- Languages
- en
- Tags
- smolvlm