metadata
title: Vontra Labs
sdk: static
pinned: false
Vontra Labs
PhaseMesh: compact local AI runtimes built from measured traces, phase signatures, and hard evals.
PhaseMesh
PhaseMesh is a compact runtime for prompt-conditioned coding and reasoning traces.
The current public artifact pours Qwen3-4B-Instruct traces into a local PhaseMesh memory, then serves covered skills through phase-signature retrieval with an explicit confidence gate. It is built to be fast, inspectable, and honest about scope.
Current Artifact
| Metric | Result |
|---|---|
| Artifact | PhaseMesh-Qwen3-4B |
| Teacher traces | 180 |
| Held-out coverage eval | 65/65 |
| Median PhaseMesh latency | ~2.18 ms |
| Live Qwen3-4B CUDA answer latency | ~4,966 ms median |
The result is a fast specialist over a published coverage set. It is not a raw Qwen checkpoint, and it is not claimed as general LLM parity.
What We Care About
- Small local AI systems that can be inspected and shipped.
- Trace-poured specialists that answer covered workflows in milliseconds.
- Evaluation files and artifacts that can be audited, not just screenshots.
- Architecture work on phase binding, associative recall, and efficient sequence kernels.
Links
- Model: Vontra/PhaseMesh-Qwen3-4B
- Source: github.com/ashhart/PhaseMesh