Multimodal open d1 decision models for the edge
Hugging Face released two open decision models, d1-3B and d1-omni-600M, built on Liquid Foundation Models. The models are trained on various datasets and achieve high scores in reading comprehension, toxicity detection, and intent classification. d1-3B achieves the highest score in a benchmark table and performs well on vision benchmarks.
Why it matters: These models can be used for fast and structured decision-making on edge devices, such as smartphones or embedded systems.




















