4-bit Open on Hugging Face
Parameters
230M
Weights (est.)
≈ 129 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-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/LFM2.5-230M-OptiQ-4bit --prompt "Hello"
Details
- Base model
- LiquidAI/LFM2.5-230M (quantized)
- Vendor
- LiquidAI
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- lfm1.0
- Downloads
- 233 in the last 30 days · 629 all time · 0 likes
- Published
- 2026-08-05 · updated 2026-10-14 (27d ago)
- Tags
- lfm2, optiq, quantized, 4bit, mixed-precision, liquid-ai, apple-silicon, on-device