The release of int4 quantized versions of Gemma 3 models, optimized with Quantization Aware Training (QAT) brings significantly reduced memory requirements, allowing users to run powerful models like Gemma 3 27B on consumer-grade GPUs such as the NVIDIA RTX 3090.
Related Posts
How to Create a Mobile Banking App
For a startup, small, or medium-sized enterprise, crafting a secure mobile banking app is a bold effort. Let’s…
Announcing the Agent Development Kit for Go: Build Powerful AI Agents with Your Favorite Languages
The Agent Development Kit (ADK), an open-source, code-first toolkit for building powerful and sophisticated AI agents, now supports…
Data migrations in regular migrations and why you (probably) should not do that
Every once in a while I read Lucian Ghinda’s Short Ruby newsletter and I see a “take” there…