Find XO: 2 billion Parameter Open Source Choice Model Supporting Fast Experiments and Low-Latency Decisions (strandsagents.com)

- Strands Decider 2B is a small-sized open-source AI model that, unlike general large language models generating text, quickly decides the most suitable choice among predefined answers. - This model consists of 2 billion parameters and provides answers to questions in an average of about 115 milliseconds on an NVIDIA RTX3090 graphics card and demonstrates about 153 milliseconds of low-latency performance on an Apple M3 MacBook. - Accuracy and reliability (calibration) were tested using the JevBench dataset, ranking it among the top within models of the same scale, according to the Strands team. - As it lacks text generation capabilities, it is not suitable for general language model tasks like coding, chatting, or document summarization but is ideal for simple decision making, tool selection, and model routing tasks.