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JevK5

alibiserikbay

JevK5 is an independent, Apache-2.0 open-source alternative to TypeSafe's Jev for typed decisions. It reads a state and a yes/no (`noul`), choice, or score question and returns a **probability for every option in one forward pass, with zero generated tokens**. The open weights can be self-hosted using the JevK5 runtime, which serves a TypeSafe-style `/v1/systemone` endpoint. This is not Jev's model or architecture and is not affiliated with TypeSafe AI. Use the JevK5 runtime shown below to read option probabilities. Generic text-generation examples on the Hub call `generate()` and do not perform JevK5's decision readout. - **Base:** Qwen3.5-4B, with a LoRA (rank 16, attention projections) merged into the weights - **Readout:** SemIf's protocol (TheoLeeCJ/SemIf, MIT): a softmax over the answer letters' next-token logits, divided by one calibration temperature. Questions with more than 16 options are read in several passes and combined with a second temperature. Both are in `jevk5_config.json`: `temperature` 1.22 and `knockout_temperature` 0.93 - **Runtime:** github.com/allebee/jevk5, 0.3.0 or later. One CUDA graph per padded input length: ~13 ms per decision on an H100 - **License:** Apache-2.0 - **Previous version:** v0.2 stays available under the Hub tag `v0.2` (see Use)

Text generation

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JevK5-2B

alibiserikbay

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Text generation

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JevK5-9B

alibiserikbay

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Text generation

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JevK5-GGUF

alibiserikbay

GGUF builds of JevK5 (4B), JevK5-9B and JevK5-2B for llama.cpp, which runs on NVIDIA, AMD, Intel and Apple GPUs and on plain CPUs. JevK5 is an Apache-2.0 open alternative to TypeSafe's Jev. It reads a document and a yes/no, choice, or score question and returns **a probability for every option in one forward pass, with nothing generated**. It is not affiliated with TypeSafe AI. Every file was checked against its unquantized model on JevBench's 231 public decisions, scored the same way: how often it gives the same answer, and its accuracy per tier. We publish a file only if at least 95% of its answers match. **Each model has its own temperatures; pass them to the client as shown under "Run it".**

Category pending

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 4

JevK5

JevK5-2B

JevK5-9B

JevK5-GGUF

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