A mid-sized open-weight model from Google's Gemma family, this variant has been through integer quantization-aware training (QAT) and then released in an unquantized form — meaning it was trained to be robust to quantization but ships at full precision. This gives it an unusual profile: the weights behave well when you later quantize them yourself, reducing quality loss compared to post-hoc quantization.