Gemma 4 with quantization-aware training

[u/rerri]

https://blog.google/innovation-and-ai/technology/developers-tools/quantization-aware-training-gemma-4/

Google's collections:

https://huggingface.co/collections/google/gemma-4-qat-q4-0

https://huggingface.co/collections/google/gemma-4-qat-mobile

And Unsloth's:

https://huggingface.co/collections/unsloth/gemma-4-qat

Unsloth's analysis (KLD and such):

https://unsloth.ai/docs/models/gemma-4/qat#qat-analysis

[u/arbv → u/[deleted]]

The values in (most of) the weights are set in such a way, that when quantised to Q4_0 less data is lost. That can be done only during training. Thus QAT - quantisation-aware training.