Decision Models / Nimbus
OPEN
Nimbus
By Crele · Released 30 Oct 2026
A decision model for live audio. You ask yes/no questions in plain English (is music playing? is someone speaking?) and it answers every 40 ms of a stream with yes, no or can't tell, real time on a laptop CPU. The date is when the weights went up on Hugging Face.
Facts
- Size
- About 97M parameters on the audio, plus a 0.6B text encoder (Qwen3-Embedding-0.6B) that reads each question once
- Licence
- Apache-2.0, code and weights
- Inputs
- A live audio stream plus yes/no questions; answers yes, no or cant_tell per 40 ms
Claims and sources
- Says yes a median 0.24 s after a sound starts over the sounds it caught on 500 real AudioSet clips (speech 0.21 s, 97% of 181 speech onsets caught); reworded questions it never trained on scored 0.892 mean AUROC against 0.911 on its own wording vendor reportedsource
Links
Source: GitHub → Source: Hugging Face →
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