Teams Win Laguna XS.2 Hackathon With AI Model Innovations

What a weekend. Around 30 teams showed up to build on Laguna XS.2, and the bar was very, very high.

Winners below 🏆

1st: Overthinking Machines Labs @emilfristed Pseudo-full-duplex with text-only models through dialogue modeling with silence tokens. https://huggingface.co/spaces/poolside-laguna-hackathon/poor-mans-interaction-models

2nd: Coding Kernels by the Pool Charlie Masters, Evan O’Leary, Jessica Mak Laguna-Dense: a ~3B fully dense distillation of Laguna XS.2 for generating CUDA kernels from PyTorch. https://huggingface.co/EvanOLeary/laguna-xs2-dense-k8-cuda-dpo

3rd: attnvq @alaradirik Attention-aware product vector quantization of KV caches. https://huggingface.co/spaces/adirik/attnvq

Honorary mention: Laguna Vision Aaron Kazah @aaronkazah A SigLIP vision encoder + resampler + LoRA adapters, trained on 300k examples to give Laguna XS.2 a native visual input path. https://huggingface.co/poolside-laguna-hackathon/laguna-vision

Huge congrats to the winners, and thank you to everyone who hacked, demoed, judged, helped, and pushed Laguna XS.2 in directions we would not have found on our own!

@nvidia @PrimeIntellect @adaption_ai @huggingface