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gemma-4-26B-A4B-it-assistant-bf16

mlx-community/gemma-4-26B-A4B-it-assistant-bf16
bf16 Open on Hugging Face
Parameters
420M
Weights (est.)
≈ 839 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-4-26B-A4B-it-assistant-bf16 --prompt "Hello"

Details

Base model
google/gemma-4-26B-A4B-it-assistant (finetune)
Vendor
Google · Gemma
Task
Text generation
Quantisation
bf16
Licence
gemma
Downloads
821 in the last 30 days · 30K all time · 22 likes
Published
2026-05-05 · updated 2026-05-05 (6mo ago)
Tags
gemma4_assistant, speculative-decoding, gemma, drafter