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Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-5bit-msq

mlx-community/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-5bit-msq
Any to any · transformers
5-bit Open on Hugging Face
Parameters
12B
Weights (est.)
≈ 3.7 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-4-12B-it-qat-q4_0-unquantized (quantized)
Vendor
Google · Gemma
Task
Any to any
Quantisation
5-bit
Licence
apache-2.0
Downloads
179 in the last 30 days · 484 all time · 0 likes
Published
2026-06-15 · updated 2026-06-15 (4mo ago)
Tags
gemma4_unified, image-text-to-text, abliterated, uncensored

Other MLX builds of google/gemma-4-12B-it-qat-q4_0-unquantized

Build Quantisation Weights Mac memory Downloads
Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-5bit-msq (this one) 5-bit ≈ 3.7 GB 8 GB+ 179
gemma-4-12B-it-qat-OptiQ-4bit 4-bit ≈ 6.8 GB 16 GB+ 5.5K