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gemma-4-26B-A4B-it-heretic-msq-2.6bit

mlx-community/gemma-4-26B-A4B-it-heretic-msq-2.6bit
Vision + text · transformers
6-bit Open on Hugging Face
Parameters
26B
Weights (est.)
≈ 21.7 GB
Mac memory (est.)
32 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-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/gemma-4-26B-A4B-it-heretic-msq-2.6bit --image photo.jpg --prompt "Describe this image"

Details

Base model
google/gemma-4-26B-A4B-it (quantized)
Vendor
Google · Gemma
Task
Vision + text
Quantisation
6-bit
Licence
apache-2.0
Downloads
392 in the last 30 days · 9.4K all time · 10 likes
Published
2026-04-13 · updated 2026-05-19 (5mo ago)
Tags
gemma4, heretic, uncensored, decensored, abliterated, quantized, mixed-precision

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

Build Quantisation Weights Mac memory Downloads
gemma-4-26b-a4b-it-4bit 4-bit ≈ 15.3 GB 24 GB+ 17K
gemma-4-26b-a4b-it-nvfp4 4-bit ≈ 15.3 GB 24 GB+ 371
gemma-4-26b-a4b-it-mxfp4 MXFP4 ≈ 15.3 GB 24 GB+ 203
gemma-4-26B-A4B-it-OptiQ-4bit 4-bit ≈ 15.3 GB 24 GB+ 1.2K
gemma-4-26b-a4b-it-5bit 5-bit ≈ 18.5 GB 24 GB+ 509
gemma-4-26b-a4b-it-6bit 6-bit ≈ 21.6 GB 32 GB+ 541
gemma-4-26B-A4B-it-heretic-msq-2.6bit (this one) 6-bit ≈ 21.7 GB 32 GB+ 392
gemma-4-26b-a4b-it-8bit 8-bit ≈ 28.0 GB 48 GB+ 3.7K
gemma-4-26b-a4b-it-mxfp8 MXFP8 ≈ 28.0 GB 48 GB+ 135
gemma-4-26b-a4b-it-bf16 bf16 ≈ 51.6 GB 64 GB+ 430