kev-9b

Model overview

Kev-9B is a decision model. It reads one document (the *state*) and a set of typed questions about it, and returns a calibrated probability distribution over the options supplied with each question, in a single forward pass and without generating text. It is intended for developers who classify, route, triage or check documents and who need probabilities that can be thresholded, for example to send uncertain cases to human review. It implements TypeSafe's public System One API (`POST /v1/systemone`), so the TypeSafe SDK works against it unchanged. It is a LoRA adapter and a pointer head on Qwen3.5-9B-Base and fits one 24 GB-class GPU. This card describes version 2, released on 2026-09-30 and included in Kev 1.0. **Input.** A state (text, or a JSON object or array rendered as labelled text) and any number of named questions, each of one of three types: Each question is answered as its own row that continues from the shared state, so questions cannot influence one another; the state is computed once and cached.

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。