edgejev
Local Jev-like typed-decision runtime using ONNX and quantized models for offline CPU inference.
- GitHub stars
- 6 as of 2026-09-22
- Forks
- 1
- Language
- Python
- License
- Check upstream
- Created
- 2026-09-20
- Last updated on GitHub
- 2026-09-21
- Added to AionEdge
- 2026-09-22

What Jev does in edgejev
The project describes itself this way: Local Jev-like typed-decision runtime using ONNX and quantized models for offline CPU inference. In the Jev-like models category, Jev typically decides the same kinds of typed questions as Jev, answered by a different, usually local, model.
Verification
Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.
Topics
- calibrated-probabilities
- cpu-inference
- decision-model
- edge-ai
- int8
- jev
- kev
- laya
- llm-inference
- local-inference
- model-quantization
- offline-first
- offline-inference
- on-device-ai
How Jev-like models projects use Jev
Independent models and servers that reproduce the Jev decision pattern, often on open weights you can run yourself. None of them is the hosted TypeSafe model, but they are useful for offline work, research and teams that cannot send data to an external API.
Related Jev projects in Jev-like models
- verdictManavarya09/verdictSmall, fast, honest decision models. Open alternative to Jev: zero-shot, fit on your labels in seconds, calibrated with a coverage guarantee, Jev wire-compatible.★ 1
Python - jevtppwiatrM/jevtppJev-like decisions. Strong C++ types.★ 1
C++
tinyjevankit-aglawe/tinyjevA tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.★ 16
Python- AnyJevnokia-applied-research/AnyJevTraining-free Jev-style typed decisions from LLM next-token probabilities. L0 uses cyclic option rotations and label-prior correction to reduce bias without labels; L1 fits temperature calibration using labeled examples. No base-model fine-tuning; calibration and order stability are not universal guarantees.★ 23
Python - jevk5allebee/jevk5JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.★ 106
Python - openjevrazorback16/openjevAn independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model.★ 313
Python