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Gemma4-E2B-IT-Text-int4

mlx-community/Gemma4-E2B-IT-Text-int4
Open on Hugging Face
Parameters
738M
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/Gemma4-E2B-IT-Text-int4 --prompt "Hello"

Details

Base model
google/gemma-4-E2B-it (finetune)
Vendor
Google · Gemma
Task
Text generation
Quantisation
Not stated
Licence
apache-2.0
Downloads
491 in the last 30 days · 3.2K all time · 2 likes
Published
2026-04-17 · updated 2026-05-19 (5mo ago)
Tags
gemma4_text

Other MLX builds of google/gemma-4-E2B-it

Build Quantisation Weights Mac memory Downloads
gemma-4-e2b-it-OptiQ-4bit 4-bit ≈ 2.6 GB 8 GB+ 533
Gemma4-E2B-IT-Text-int4 (this one) — ≈ 2.6 GB 8 GB+ 491
gemma-4-e2b-it-4bit 4-bit ≈ 3.6 GB 8 GB+ 25K
gemma-4-e2b-it-mxfp4 MXFP4 ≈ 3.6 GB 8 GB+ 211
gemma-4-e2b-it-nvfp4 4-bit ≈ 3.6 GB 8 GB+ 140
gemma-4-e2b-it-5bit 5-bit ≈ 4.1 GB 8 GB+ 158
gemma-4-e2b-it-6bit 6-bit ≈ 4.7 GB 8 GB+ 298
gemma-4-e2b-it-8bit 8-bit ≈ 5.9 GB 16 GB+ 767
gemma-4-e2b-it-mxfp8 MXFP8 ≈ 5.9 GB 16 GB+ 144
gemma-4-e2b-it-bf16 bf16 ≈ 10.2 GB 16 GB+ 1.5K