Direct answer
The runtime owns model loading and native execution. The application owns lifecycle, concurrency, validation, user-visible state, and the release promise.
This page does not publish benchmark or compatibility results. It shows the evidence required to answer on-device AI queue priority without turning an assumption into a product claim.
Evidence to collect
The claim becomes reviewable only when the following evidence is attached to the same artifact and test run:
- Priority policy
- Mixed-priority fixtures
- Cancellation and completion order
A runtime comparison is publishable only when artifact identity, build configuration, selected backend, task fixture, and failures are recorded.
Implementation workflow
- Freeze the product task and minimum device tier.
- Choose the runtime and supported artifact format.
- Pin artifact and runtime revisions.
- Wrap native state behind an application-owned interface.
- Test load, representative work, cancellation, close, and fallback.
- Publish only the behavior reproduced by the recorded configuration.
Keep each transition observable. A failure should identify the stage, artifact, runtime, and recovery action without logging private user content.
Failure patterns to prevent
- Letting model output set priority
- Starving normal tasks silently
Also prevent silent fallback, unpinned artifacts, missing cancellation, and conclusions that combine unlike configurations. Store unsuccessful runs alongside successful ones.
Minimum reproducibility record
| Layer | Record |
|---|---|
| Device | Manufacturer, model, chipset, RAM class, operating-system build |
| Software | Application version and git commit |
| Model | Family, variant, revision, format, file length, hash, quantization |
| Runtime | Name, revision, requested backend, observed backend evidence |
| Workload | Fixture revision, input hash, prompt hash, output policy |
| Outcome | Completed, failed, cancelled, fallback, and privacy-safe diagnostics |
Release checklist
- ☐ The primary query is answered without an unsupported number.
- ☐ Every artifact and runtime is pinned.
- ☐ The representative task and failure policy are explicit.
- ☐ Lifecycle, cancellation, cleanup, and fallback are tested.
- ☐ User-content and network boundaries are documented.
- ☐ Result wording applies only to the recorded configuration.
- ☐ The page links to raw method or evidence when results are added.
Sources and related evidence
Chinese deployment and troubleshooting content is organized in the .奇连 AI 端侧专题.