ModSleuth maps recursive dependencies in modern LLMs
Olmo 3 traces to 89 model and 183 dataset dependencies, while Nemotron 3 traces to 273 model and 560 dataset dependencies
4 appearances on the backlist front page in the last 30 days.
Olmo 3 traces to 89 model and 183 dataset dependencies, while Nemotron 3 traces to 273 model and 560 dataset dependencies
Modern LLM dependencies are scattered, recursive, & hard to see. So how do we even find them all? ModSleuth helps by reading papers, model & dataset cards, code configs, & upstream artifacts, then reconstructing a model's “family tree.”
Fine-tuning scripts, datasets, evaluation rollouts, and tokenizer recipes make a robotics foundation model practical for outside teams to build on
What's now open alongside the model: Fine-tuning scripts Every dataset used to train MolmoAct 2 All of our evaluation rollouts Training recipe for the open source MolmoAct 2 tokenizer