d1-3B is an open decision model released by Liquid AI on Hugging Face, handling text and image inputs. It scores 48.57 on Decision Index 0.2.1, ahead of all 4B and 9B models, and answers in 16 ms on NVIDIA Jetson AGX Thor. A community user benchmarked it alongside Laya, Clef-Flash 9B and Lev 4B on a single RTX 4090.
Four open decision models benchmarked on an RTX 4090A user benchmarked four new open decision models, Laya, d1 3B, Clef-Flash 9B and Lev 4B, on a single RTX 4090, tasking them to flag centipede names word by word across 9,534 words of Wikipedia text. Laya was fastest overall at 3.9 ms per word, about 7,980 words in 32 seconds and 97.4% accuracy; Lev was slowest but caught the most names.
LiquidAI Releases d1-3B Model on Hugging FaceLiquidAI released the d1-3B model on Hugging Face; a community user shared the model page, with capability and benchmark details not yet disclosed.
Liquid AI releases open edge decision modelsLiquid AI released two open decision models: d1-3B and experimental d1-omni-600M. d1-3B scores 48.57 on Decision Index 0.2.1, ahead of all 4B and 9B models, and answers in 16 ms on NVIDIA Jetson AGX Thor; it handles text and images, while the omni model also supports audio.
The A.I. Daily