wfzyx/von
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
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An open-source, non-autoregressive System One decision model. Calibrated Choice / Noul / Score inference from a 395M ModernBERT encoder, one forward pass, CPU-served. [](https://huggingface.co/wfzyx/von) [](https://pypi.org/project/von-sdk/) [](https://www.npmjs.com/package/von-sdk) [](https://opensource.org/licenses/Apache-2.0) Von playing Doom. Every action is one forward pass scoring six option descriptions against a text rendering of the depth buffer. Same shipped weights that answer routing questions; no policy network, no RL. Von answers three question types over any JSON or text state without generating tokens: Choice (pick one of K described options, with a probability over all of them), Noul (probability that a condition holds) and Score (calibrated position on an ordinal scale). It is a drop-in server and client for the TypeSafe /v1/systemone wire protocol, ships as von-sdk for Python and TypeScript, and runs on CPU (OpenVINO), CUDA, ROCm and Apple MPS. Weights, training data, calibration and the full benchmark record live on the model card. Training on your own…
Read the full README ↗ · Preview checked 2026-11-05T11:18:34.460Z
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What this repository does
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
Repository facts
- Owner
- wfzyx
- Primary language
- Python
- Stars
- 660
- Forks
- 49
- Open issues + pull requests
- 2
- License
- Apache-2.0
- Archived
- No
- Default branch
- master
- Created
- 2026-09-18T05:03:47.000Z
- Last push
- 2026-09-24T22:00:15.000Z
Topics and intended use
Owner-supplied topics: decision-model, jev, machine-learning, python, rlcd, system-one, typesafe
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Source and freshness
Source: GitHub. Metadata observed 2026-09-25T12:03:43.116Z. Daily imports are snapshots, not real-time monitoring.
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