**[Liquid AI Releases Weights for Two Small Decision Models: 3B Version Provides Answers in 8ms]** Beating AI News Flash: Following the previous release of the cloud-based decision model d1, Liquid AI has now made the weights for two small decision models available: d1-3B and the experimental version d1-omni-600M. The two models have approximately 3.1 billion and 600 million parameters, respectively, and developers can download, fine-tune, and deploy them on local devices. The weights for the cloud-based d1, which previously achieved a composite score of 58.9, have not yet been released. The d1-3B model supports both text and image inputs, enabling it to determine whether content violates regulations, select tools for agents, or make judgments based on visuals. In the Decision Index v0.2.1 evaluation, Liquid AI's internal testing scored it at 48.57, surpassing the Decider 35B-A3B (47.11), which has approximately 12 times the total parameters. On an RTX 4090, it takes only 8 milliseconds to answer a single short question. Even on NVIDIA's small AI computers designed for robotics, it requires just 50 milliseconds. However, processing long texts or images takes more time. The experimental d1-omni-600M model, with only about 600 million parameters, also supports directly interpreting the intent of voice commands without converting them to text first. It is better suited for small devices with limited resources but remains in its early stages. In the Decision Index text decision evaluation, it scored only 15.95. The official team has not yet disclosed the inference speed of this model or its standalone performance in visual and voice evaluations. The weights for both models have been uploaded to Hugging Face. However, they are licensed under the LFM Open License v1.0, which imposes restrictions on commercial use. Companies with annual revenues exceeding $10 million must obtain additional authorization for commercial use. [Original Link]