nokia-applied-research/AnyJev
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
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README & documentation
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[](https://pypi.org/project/anyjev/) [](https://pypi.org/project/anyjev/) [](https://github.com/nokia-applied-research/AnyJev/actions/workflows/ci.yml) [](https://github.com/nokia-applied-research/AnyJev/blob/main/LICENSE) [](https://arxiv.org/pdf/2610.00831) [](https://huggingface.co/collections/morriszjm/tacit-6ac41d0b50af9e5417c5c234) [](https://huggingface.co/morriszjm/AnyJev-Tacitus-31B) [](https://huggingface.co/spaces/multimodalart/jev-decision-index) [](https://huggingface.co/spaces/multimodalart/jev-decision-index) English · 简体中文 · ⚡ Serve it · 📊 Results · 🏆 Leaderboard · 🧭 Roadmap · 📖 Levels Jiamu Zhang1 Tianze Yang1 Yucheng Shi2 Evan Chen1 Zixiang Nie1 Kelly Wan1 Liangjie Hong1 Ninghao Liu3 Liang Wu1 1 Nokia, Sunnyvale, CA, USA 2 Tencent Hunyuan 3 The Hong Kong Polytechnic University Qwen3-8B on a real BANKING77 item. Every number is a model output. A Tacit model, in Python. kind is "choice" (default), "yesno" or "score" (options are ordered levels, lowest first, numbered from 1; firstlevel=0 numbers them from 0). decidebatch([...]) takes a list of such dicts. Send the hardest decisions to reasoning, with a cap. A decision whose top two options are less than tau apart in log-probability is answered again with thinking on. After the reasoning, the answer is read as a label distribution,…
Read the full README ↗ · Preview checked 2026-11-05T01:10:21.720Z
Inside the original README — Document outline
- ⚡ Serve it
- ✨ What it is
- 📊 Tacit results
- 🏆 AnyJev Tacitus on the Decision Index
- 🏆 Training-free on the Decision Index
- 🧠 How it works
- 🧭 Roadmap
- 🤝 Contributing and citation
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Repository facts
- Owner
- nokia-applied-research
- Primary language
- Python
- Stars
- 865
- Forks
- 110
- Open issues + pull requests
- 8
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-09-21T05:55:40.000Z
- Last push
- 2026-09-28T08:46:53.000Z
Topics and intended use
Owner-supplied topics: calibration, decision-model, jev, jev-model, llm, system-one, transformers, vllm
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
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Source and freshness
Source: GitHub. Metadata observed 2026-09-28T12:04:05.369Z. Daily imports are snapshots, not real-time monitoring.
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