bf16 Open on Hugging Face
Parameters
78M
Weights (est.)
≈ 158 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/gemma-4-E2B-it-assistant-bf16 --prompt "Hello"
Details
- Base model
- google/gemma-4-E2B-it-assistant (finetune)
- Vendor
- Google · Gemma
- Task
- Text generation
- Quantisation
- bf16
- Licence
- gemma
- Downloads
- 454 in the last 30 days · 6.7K all time · 7 likes
- Published
- 2026-05-05 · updated 2026-05-05 (6mo ago)
- Tags
- gemma4_assistant, speculative-decoding, gemma, drafter