Qovaryx
Qovaryx is a research project exploring compact models and local inference for focused tasks, including document processing and market-context classification. Work originated in the Bleeding Edge research environment.
Status — October 3, 2026: Qovaryx is on the back burner. Desktop downloads are paused; there is no current public installer, purchase, or trial. These repositories remain as research references. Published weights are separate from desktop product availability.
Repository guide
| Family | What the published artifacts represent |
|---|---|
| 50M, 350M, 1B, 3B scratch bases | Random-initialized starting points that require training. Size names are family labels; inspect each configuration and loader. |
| Q-RAG and the Q-* specialist cards | Research checkpoints for narrow text tasks. Small internal evaluations have limited scope. |
| Q-Macro, Q-Pattern, Q-Regime, Q-Volatility, Q-Veto | Experimental market-context classifiers. Classification labels do not establish trading effectiveness. |
| VFAi-X, VPA / Franken-B | Legacy Qwen3.5-derived vision-language checkpoints. They use a third-party foundation model. |
| Q-Office-Suite | Historical Windows runtime packaging, separate from model weights and training source. |
Evidence and maturity
This collection contains distinct architectures and release formats. Scratch-initialized bases and Qwen-derived legacy checkpoints have different provenance; a claim about one family does not apply to all of them.
Earlier cards mixed internal fixtures, simulated trading results, and release plans with statements about shipping products. Those broad claims have been removed. There is no current claim here of verified investment returns, universal hardware compatibility, production readiness, or superiority over other models.
The Q-RAG reports evaluate query/passage classification. They do not establish end-to-end file retrieval, path accuracy, or general retrieval quality. Runtime checks and historical test receipts also do not establish current product availability.
Local inference is a project goal and depends on the particular artifact and integration. Broker access, market data, licensing, and optional external services can require a network connection. Review each repository's dependencies and license before use.
Project and support
J.E. Herizon LLC, doing business as JE Horizon.