Google releases Gemma 4 QAT. ✨
You can now run Gemma 4 at 3x less memory with near original performance.
Quantization-Aware Training (QAT) makes it possible to run Gemma 4 26B-A4B on 16GB RAM.
GGUFs: huggingface.co/collections/u…
QAT Guide: unsloth.ai/docs/models/gemma…
We just dropped Gemma 4 Quantization-Aware Training (QAT) checkpoints on Hugging Face!
All Gemma 4 model sizes and their drafters are now optimized with QAT to cut memory requirements and maximize on-device performance!
For years you needed UMIs and similar dark molecular biology magic to get perfect amplicon sequences from @nanopore . With recent accuracy improvements really clever algorithms that is now changed. Savont unlocks ASVs from low coverage amplicons 🤯🤯🤯
biorxiv.org/content/10.64898…