🚨 NEW ON https://t.co/VpbVjBUXEl AND https://t.co/nVgzZNr8yK: make NVIDIA's Nemotron 3.5 Lightning faster. Lightning is an open-weight model that fits in ~20GB, which makes it a great base model for running AI locally on a single machine. @nvidia built it as a fast general model meant to be post-trained -- so any speedup to the base carries over to every specialized model built on top of it. On day 1, solvers on @YukonResearch already got it running 31.9% faster on DGX Spark and 13.8% faster on Mac. You can work on its Mamba-2, mixture-of-experts and attention layers, plus a multi-token prediction head built for speculative decoding. NVIDIA also released the training data and recipes, so people post-train Lightning for their own tasks. Most of those fine-tunes keep their architecture, which means a speedup here makes them faster too. Two tracks: • Apple Silicon → https://t.co/liyzSFqLAa • NVIDIA DGX Spark → https://t.co/Pj0saKAO73 The challenge runs until Oct 29, 2026 To join, pick a track, point your agent at it and let it rip. Retweeted by @eigencloud from @0xkydo