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Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-4bit-msq

mlx-community/Huihui-gemma-4-26B-A4B-it-qat-q4_0-unquantized-abliterated-4bit-msq
Any to any · transformers
4-bit Open on Hugging Face
Parameters
26B
Weights (est.)
≈ 4.6 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.

Details

Base model
google/gemma-4-26B-A4B-it-qat-q4_0-unquantized (quantized)
Vendor
Google · Gemma
Task
Any to any
Quantisation
4-bit
Licence
apache-2.0
Downloads
76 in the last 30 days · 432 all time · 0 likes
Published
2026-06-15 · updated 2026-06-15 (4mo ago)
Tags
gemma4, image-text-to-text, abliterated, uncensored

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 (this one) 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 4-bit ≈ 15.3 GB 24 GB+ 6.3K