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gemma-4-12B-it-qat-assistant-bf16

mlx-community/gemma-4-12B-it-qat-assistant-bf16
bf16 Open on Hugging Face
Parameters
423M
Weights (est.)
≈ 846 MB
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.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/gemma-4-12B-it-qat-assistant-bf16 --prompt "Hello"

Details

Base model
google/gemma-4-12B-it-qat-q4_0-unquantized-assistant (finetune)
Vendor
Google · Gemma
Task
Text generation
Quantisation
bf16
Licence
gemma
Downloads
87 in the last 30 days · 1.7K all time · 0 likes
Published
2026-06-05 · updated 2026-06-05 (5mo ago)
Languages
en
Tags
gemma4_unified_assistant, mlx-vlm, gemma-4, gemma-4-12b, gemma, speculative-decoding, draft-model, bf16

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

Build Quantisation Weights Mac memory Downloads
gemma-4-12B-it-qat-assistant-4bit 4-bit ≈ 238 MB 8 GB+ 454
gemma-4-12B-it-qat-assistant-mxfp4 MXFP4 ≈ 238 MB 8 GB+ 57
gemma-4-12B-it-qat-assistant-nvfp4 4-bit ≈ 238 MB 8 GB+ 48
gemma-4-12B-it-qat-assistant-5bit 5-bit ≈ 291 MB 8 GB+ 56
gemma-4-12B-it-qat-assistant-6bit 6-bit ≈ 344 MB 8 GB+ 53
gemma-4-12B-it-qat-assistant-8bit 8-bit ≈ 449 MB 8 GB+ 118
gemma-4-12B-it-qat-assistant-mxfp8 MXFP8 ≈ 449 MB 8 GB+ 45
gemma-4-12B-it-qat-assistant-bf16 (this one) bf16 ≈ 846 MB 8 GB+ 87