Olivier Lacombe

Google launches Gemma 3 270M, a compact 270-million parameter open model designed for task-specific fine-tuning with strong instruction-following capabilities, enabling efficient and cost-effective production systems.

“Co-author of the article announcing Gemma 3 270M model”

“Google author of blog post on Gemma 4 QAT models for efficient model compression on edge devices.”

“Co-authored Google blog post introducing Gemma 4 12B open-weight multimodal model.”

“Co-authored article announcing Multi-Token Prediction drafters for Gemma 4 models to improve inference speed.”

“Co-author of blog post announcing Gemma 4 Multi-Token Prediction drafter checkpoints.”

“Co-author of Google's blog post announcing Gemma 4 open models under Apache 2.0 license.”

“Co-authored the Gemma 4 model announcement on the Google Blog.”

Google introduces Gemma 3 270M, a 270-million parameter compact model designed for on-device inference with state-of-the-art instruction-following capabilities and extreme energy efficiency (0.75% battery drain for 25 conversations on Pixel 9 Pro).

“Co-authored blog post on Gemma 3 270M compact model for Google Developers.”