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d1a-e2b-it-qat-4bit

mlx-community/d1a-e2b-it-qat-4bit
4-bit Open on Hugging Face
Parameters
4.6B
Weights (est.)
≈ 2.6 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-E2B-it-qat-w4a16-ct (quantized)
Vendor
Google · Gemma
Task
Text classification
Quantisation
4-bit
Licence
apache-2.0
Downloads
356 in the last 30 days · 356 all time · 2 likes
Published
2026-10-25 · updated 2026-11-11 (4h ago)
Languages
en, ja
Tags
gemma4, d1a, decision-model, calibration, system-one, chat, multimodal, vision, audio, video, pull-requests, intents