AI NEWS.ccAI正在发生 未来正在更新
♡ 我的收藏 0
AI 模型库/alibiserikbay/JevK5
MODEL PROFILE · 模型档案

JevK5

alibiserikbay · JevK5

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)

译文排队中，当前展示来源原文。

文本生成license:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:16:26
OVERVIEW

模型介绍

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)

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价，请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用？

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗？

不是实时结算价格，而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

huggingface · alibiserikbay/JevK5 ↗2026/10/29 18:28:32
huggingface · enrich:73005583-fea3-476c-a882-733275c4d12d ↗2026/10/29 04:05:53

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。