llms.txt

Rama main · réplica de lectura del repositorio original.

# Wald-Q4B v2

> Open-weight 4B decision model. Given a state and typed questions (choice, yes/no, score), it returns a calibrated probability for every option through a Jev-compatible `POST /v1/systemone` API. v2 (revision `v2.0`, checkpoint `04701-c22`) starts from Qwen3.5-4B (chat) and thinks natively when unsure (Auto 0.7). Apache-2.0 weights and serving code; self-hosted with vLLM on one NVIDIA GPU.

## Docs

- [Model card](https://huggingface.co/org2ai/Wald-4B): scores per policy, comparisons, limits
- [API reference](https://huggingface.co/org2ai/Wald-4B/blob/main/docs/api.md)
- [RUNBOOK.md](https://huggingface.co/org2ai/Wald-4B/blob/main/RUNBOOK.md): serving and exact evaluation settings
- [model-info.json](https://huggingface.co/org2ai/Wald-4B/blob/main/model-info.json) and [evaluation/v2/summary.json](https://huggingface.co/org2ai/Wald-4B/blob/main/evaluation/v2/summary.json): machine-readable facts and scores

## Optional

- [PROVENANCE.md](https://huggingface.co/org2ai/Wald-4B/blob/main/PROVENANCE.md) · [CONTAMINATION.md](https://huggingface.co/org2ai/Wald-4B/blob/main/CONTAMINATION.md) · [CITATION.cff](https://huggingface.co/org2ai/Wald-4B/blob/main/CITATION.cff)
- Earlier releases: tags `v1.2`, `v1.1`, `v1.0`