4-bit Open on Hugging Face
Parameters
4.5B
Weights (est.)
≈ 2.5 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-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/gemma-3n-E2B-it-lm-4bit --prompt "Hello"
Details
- Base model
- google/gemma-3n-E2B-it (quantized)
- Vendor
- Google · Gemma
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- gemma
- Downloads
- 2.5K in the last 30 days · 115K all time · 3 likes
- Published
- 2025-06-29 · updated 2025-06-29 (1y ago)
- Tags
- gemma3n, automatic-speech-recognition, automatic-speech-translation, audio-text-to-text, video-text-to-text
Other MLX builds of google/gemma-3n-E2B-it
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| gemma-3n-E2B-it-lm-4bit (this one) | 4-bit | ≈ 2.5 GB | 8 GB+ | 2.5K |
| gemma-3n-E2B-it-text-4bit-dwq | 4-bit DWQ | ≈ 5.2 GB | 8 GB+ | 137 |
| gemma-3n-E2B-it-lm-bf16 | bf16 | ≈ 8.9 GB | 16 GB+ | 73 |