Mica v0.5 open-weight decision model posts fast local benchmarks
AI summary
A Reddit author introduced Mica v0.5, an open-weight 4B decision model built on Qwen3.5-4B with LoRA that assigns probabilities to options in one forward pass. In the author's tests on one RTX 6000 Ada, median decision times were 11–18 ms, compared with 133–157 ms for PPLX Decider 1.2 Flash and 31–33 ms for Laya; on synthetic security logs, Mica reportedly caught 21 of 22 planted intrusions. These measurements and the author’s broader accuracy claims have not been independently corroborated in the supplied report.
In-depth insight
The release includes model weights and code plus a task-specific local evaluation, but its speed and accuracy comparisons still require independent validation.