4-bit Open on Hugging Face
Parameters
4.6B
Weights (est.)
≈ 2.6 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-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/gemma-4-e2b-it-qat-OptiQ-4bit --prompt "Hello"
Details
- Base model
- google/gemma-4-E2B-it-qat-q4_0-unquantized (quantized)
- Vendor
- Google · Gemma
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 837 in the last 30 days · 6.8K all time · 7 likes
- Published
- 2026-06-12 · updated 2026-10-18 (24d ago)
- Tags
- gemma4, quantized, mixed-precision, 4bit, 8bit, optiq, apple-silicon, image-text-to-text, gemma-4