4-bit Open on Hugging Face
Parameters
2.7B
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/LFM2.5-VL-3B-OptiQ-4bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- LiquidAI/LFM2.5-VL-3B (quantized)
- Vendor
- LiquidAI
- Task
- Vision + text
- Quantisation
- 4-bit
- Licence
- lfm1.0
- Downloads
- 513 in the last 30 days · 7.2K all time · 2 likes
- Published
- 2026-08-14 · updated 2026-10-18 (24d ago)
- Tags
- lfm2_vl, optiq, quantized, 4bit, mixed-precision, lfm2, lfm2.5, liquid, multimodal, vision-language-model, edge, apple-silicon