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gemma-4-26B-A4B-it-qat-q4_0-mlx-aligned

mlx-community/gemma-4-26B-A4B-it-qat-q4_0-mlx-aligned
4-bit Open on Hugging Face
Parameters
25B
Weights (est.)
≈ 14.2 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-q4_0-mlx-aligned --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
341 in the last 30 days · 2.6K all time · 3 likes
Published
2026-07-05 · updated 2026-07-06 (4mo ago)
Tags
gemma4, quantized

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 (this one) 4-bit ≈ 14.2 GB 24 GB+ 341
gemma-4-26B-A4B-it-qat-OptiQ-4bit 4-bit ≈ 15.3 GB 24 GB+ 6.3K