---
title: README
emoji: 🌍
colorFrom: yellow
colorTo: gray
sdk: static
pinned: false
license: apache-2.0
---

# unfork

**unfork** is the home of the **AMOS decision-model family** — generative decision models that turn a single forward pass into a **normalized probability distribution**, served through the **systemone structured decision protocol**.

## What we build

Instead of free-form chat answers, AMOS models emit fully structured decision primitives:

| Primitive | Output |
|---|---|
| `choice` | A probability distribution over candidate options |
| `score` | Calibrated numeric scores for each candidate |
| `noul` | An explicit "no usable label" distribution for out-of-scope inputs |

This design yields **100% parseable structured output**, calibrated probabilities, and low end-to-end latency — purpose-built for routing, classification, triage, and automated decision pipelines.

## Flagship release

**[unfork/amos-2.8](https://huggingface.co/unfork/amos-2.8)** — a QLoRA adapter on **Qwen3-8B**, trained on 50,567 curriculum-based decision tasks.

Highlights from independent randomized blind tests (rule-based gold scoring, zero text-level overlap with training data):

- **500-question fresh blind board**: **96.6%** raw accuracy (amos-2.8) vs **96.4%** for jev-1.13 (commercial API) and **42.8%** for laya (zero-shot); **98.6%** on pure decision tasks; **96.05%** under strict out-of-distribution evaluation.
- **6,000-question three-model same board**: **86.77%** on main tasks vs 72.28% (jev-1.13) and 45.07% (laya); **96.23%** on out-of-scope attributes vs 86.87% and 43.89%.
- **0 API errors** across all boards; ≈0.9–1.2 s warm end-to-end latency through the public gateway.

## Links

- Model: [unfork/amos-2.8](https://huggingface.co/unfork/amos-2.8)
- License: Apache-2.0