Kestrel Decider 230M
Small open decision model from Kestrelyn: a LoRA and pointer head on Liquid's LFM2.5-230M-Base, trained with the strands-decider recipe. Answers yes/no, choice and rubric-score questions with per-option probabilities and no generated text; aimed at CPU and edge routing.
The repo holds the rank-128 LoRA and head; the base downloads from LiquidAI at load time. Per-kind temperatures are stored with the model, and strands-decider serve exposes /v1/systemone. An independent release, not endorsed by Liquid AI or the strands-decider authors. The LFM Open License caps licensed commercial use at US$10M annual revenue. The maker says it is weak on answer adequacy, multi-hop reasoning and hard judgement, and that MuSiQue regressed in v1.1. On the maker's own run of JevBench's public items (a third-party benchmark, not submitted to its board) it answers 149 of 231 with ECE 0.064; on 6,000 unseen classification rows it scores 0.558 with ECE 0.058.
What it decides
- choice — picks one option from a set
- score — places the input on an ordered scale
- noul — answers a yes/no question with one probability
At a glance
| Parameters | 230M |
| Base model | LiquidAI/LFM2.5-230M-Base |
| Maker | Kestrelyn |
| Released | 2026-10-03 |
| License | LFM Open License v1.0 (commercial use only below US$10M revenue; non-commercial above that) |
| Reported accuracy | 64.5% |
| Reported latency | 19 ms p50 / 126 ms p95 on one RTX 3060 12 GB, one request at a time |
Get the weights
pip install systemonemodels
systemone pull kestrelyn/kestrel-decider
The files are served from the maker's Hugging Face repository, Kestrelyn/kestrel-decider-230m, and verified against the checksums recorded here.