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README.md
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lev answers typed questions about a piece of context in a single forward pass. You give it a **state** (text, a ticket, an email, or JSON) and a set of yes/no, choice, and score questions. It reads each answer from the logits it already computed and returns calibrated probabilities over exactly the options you supplied. It is a LoRA adapter on Qwen3.5-4B, and it speaks TypeSafe's `/v1/systemone` protocol, so code written for the TypeSafe SDK works against it once you change the base URL.
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<div align="center" style="line-height: 1;"><img src="https://img.shields.io/badge/license-Apache--2.0-2a78d6?style=flat-square" alt="Apache-2.0" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/base-Qwen3.5--4B-2a78d6?style=flat-square" alt="Qwen3.5-4B" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/output%20tokens-0-2a78d6?style=flat-square" alt="Zero output tokens" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/API-%2Fv1%2Fsystemone-2a78d6?style=flat-square" alt="/v1/systemone compatible" style="display: inline-block; vertical-align: middle; margin: 2px;"> <a href="https://github.com/Abhinavexists/lev"><img src="https://img.shields.io/badge/code-GitHub-14181f?style=flat-square&logo=github" alt="GitHub" style="display: inline-block; vertical-align: middle; margin: 2px;"></a></div>
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<h2 align="center">68.9% on all 13 S1Bench subsets. 4B parameters. Zero output tokens.</h2>
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lev answers typed questions about a piece of context in a single forward pass. You give it a **state** (text, a ticket, an email, or JSON) and a set of yes/no, choice, and score questions. It reads each answer from the logits it already computed and returns calibrated probabilities over exactly the options you supplied. It is a LoRA adapter on Qwen3.5-4B, and it speaks TypeSafe's `/v1/systemone` protocol, so code written for the TypeSafe SDK works against it once you change the base URL.
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<div align="center" style="line-height: 1;"><img src="https://img.shields.io/badge/license-Apache--2.0-2a78d6?style=flat-square" alt="Apache-2.0" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/base-Qwen3.5--4B-2a78d6?style=flat-square" alt="Qwen3.5-4B" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/output%20tokens-0-2a78d6?style=flat-square" alt="Zero output tokens" style="display: inline-block; vertical-align: middle; margin: 2px;"> <img src="https://img.shields.io/badge/API-%2Fv1%2Fsystemone-2a78d6?style=flat-square" alt="/v1/systemone compatible" style="display: inline-block; vertical-align: middle; margin: 2px;"> <a href="https://github.com/Abhinavexists/lev"><img src="https://img.shields.io/badge/code-GitHub-14181f?style=flat-square&logo=github" alt="GitHub" style="display: inline-block; vertical-align: middle; margin: 2px;"></a> <a href="https://interfaze.ai/blog/jev-now-open-source-lev"><img src="https://img.shields.io/badge/Blog-lev-yellow" alt="Blog" style="display: inline-block; vertical-align: middle; margin: 2px;"></a> <a href="https://interfaze.ai"><img src="https://img.shields.io/badge/Built_by-Interfaze--ai-4C1" alt="interfaze" style="display: inline-block; vertical-align: middle; margin: 2px;"></a></div>
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<h2 align="center">68.9% on all 13 S1Bench subsets. 4B parameters. Zero output tokens.</h2>
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