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gemma-4-26B-A4B-it-qat-OptiQ-4bit

mlx-community/gemma-4-26B-A4B-it-qat-OptiQ-4bit
4-bit Open on Hugging Face
Parameters
25B
Weights (est.)
≈ 15.3 GB
Mac memory (est.)
24 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-4-26B-A4B-it-qat-OptiQ-4bit --prompt "Hello"

Details

Base model
google/gemma-4-26B-A4B-it-qat-q4_0-unquantized (quantized)
Vendor
Google · Gemma
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
6.3K in the last 30 days · 48K all time · 4 likes
Published
2026-06-16 · updated 2026-10-18 (24d ago)
Tags
gemma4, quantized, mixed-precision, 4bit, 8bit, optiq, apple-silicon, image-text-to-text, gemma-4

Other MLX builds of google/gemma-4-26B-A4B-it-qat-q4_0-unquantized

Build Quantisation Weights Mac memory Downloads
Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-4bit-msq 4-bit ≈ 4.6 GB 8 GB+ 76
gemma-4-26B-A4B-it-qat-q4_0-mlx-aligned 4-bit ≈ 14.2 GB 24 GB+ 341
gemma-4-26B-A4B-it-qat-OptiQ-4bit (this one) 4-bit ≈ 15.3 GB 24 GB+ 6.3K