Omar from Google’s Gemma team confirmed Gemma 4 will include QAT (Quantization-Aware Training)?

Omar from Google’s Gemma team confirmed Gemma 4 will include QAT (Quantization-Aware Training).

QAT helps maintain model accuracy after quantization, critical for local and edge deployment?

QAT helps maintain model accuracy after quantization, critical for local and edge deployment.

Developers are urged to delay quantization testing on current Gemma models and wait for Gemma 4.

Open Source

r/LocalLLaMA June 04, 2026

⚡Omar from Google's Gemma team hints at native quantization-aware training in the next release.

Deep Dive

A comment from Omar on the Gemma team suggests to pause testing quantization and wait for refinements.

Key Points

Omar from Google’s Gemma team confirmed Gemma 4 will include QAT (Quantization-Aware Training).
QAT helps maintain model accuracy after quantization, critical for local and edge deployment.
Developers are urged to delay quantization testing on current Gemma models and wait for Gemma 4.

Native QAT in Gemma 4 could make high‑accuracy quantized models a reality for local LLM users.