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gemma-4-E2B-it-qat-assistant-4bit

mlx-community/gemma-4-E2B-it-qat-assistant-4bit
4-bit Open on Hugging Face
Parameters
78M
Weights (est.)
≈ 45 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-qat-assistant-4bit --prompt "Hello"

Details

Base model
google/gemma-4-E2B-it-qat-q4_0-unquantized-assistant (quantized)
Vendor
Google · Gemma
Task
Text generation
Quantisation
4-bit
Licence
gemma
Downloads
195 in the last 30 days · 1.3K all time · 0 likes
Published
2026-06-05 · updated 2026-06-05 (5mo ago)
Languages
en
Tags
gemma4_assistant, mlx-vlm, gemma-4, gemma-4-e2b, gemma, speculative-decoding, draft-model, 4bit

Other MLX builds of google/gemma-4-E2B-it-qat-q4_0-unquantized-assistant

Build Quantisation Weights Mac memory Downloads
gemma-4-E2B-it-qat-assistant-4bit (this one) 4-bit ≈ 45 MB 8 GB+ 195
gemma-4-E2B-it-qat-assistant-mxfp4 MXFP4 ≈ 45 MB 8 GB+ 130
gemma-4-E2B-it-qat-assistant-nvfp4 4-bit ≈ 45 MB 8 GB+ 48
gemma-4-E2B-it-qat-assistant-5bit 5-bit ≈ 54 MB 8 GB+ 34
gemma-4-E2B-it-qat-assistant-6bit 6-bit ≈ 64 MB 8 GB+ 29
gemma-4-E2B-it-qat-assistant-8bit 8-bit ≈ 84 MB 8 GB+ 33
gemma-4-E2B-it-qat-assistant-mxfp8 MXFP8 ≈ 84 MB 8 GB+ 31
gemma-4-E2B-it-qat-assistant-bf16 bf16 ≈ 157 MB 8 GB+ 109