FLock.io’s 1.9B decision model, fine-tuned from decider-2b to apply written policy rules however they are phrased. It returns an option index and a probability in one forward pass for Choice, Noul and Score questions. Weights are open and the model is free to call on the FLock API.
A workable 1.88B-parameter dense decision model from FLock.io. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Currently trending on Hugging Face — community interest is climbing.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
Access model weights, configuration files, and documentation.
Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 1.7 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 1.7 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 1.7 GB |
| AMD Instinct MI300XAMD | SS | 1.7 GB |
| AMD Instinct MI325XAMD | SS | 1.7 GB |

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