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LOCAL AI / PRACTICAL TASKS

Choose a job.
Check its exact setup.

Compare your selected computer and settings with retained task runs. Download a public sample, run its original verifier and use version-scoped troubleshooting when it fails.

Invoice extraction and cited PDF search have narrow, dated Mac evidence. The coding path provides a frozen fixture and checker; model execution is currently deferred by the Mac resource guard. Existing corrected-note kits remain available.

All existing work kits and local answer checkers →

1. Select your hardware and runtime

These are declared settings. This page does not scan or test your computer. Defaults display the retained Mac setup so you can inspect its evidence; change every value that differs.

Exact artifact: official Qwen3-4B Q4_K_M, 2,497,280,256 bytes. One complete GGUF, revision bc640142c66e1fdd12af0bd68f40445458f3869b. Pinned model source.

Fixed tested execution settings: CPU only; 4 inference threads, 4 batch threads, F16 K/V, one slot. Retained invoice/PDF samples use Python 3.12.14; PDF parsing requires pypdf 6.10.0. Coding checker uses Python 3.14.0. Runner revision .2 also checks the declared hardware, OS and Python before launching. Model downloads and runtime installation are intentional setup steps; this page downloads neither.

Memory fit and compatibility are separate

Exact CPU memory fit: insufficient information. Low/high allocation, headroom and capacity reserves are unavailable for this CPU task configuration in the retained shared estimator. Process RSS in a task receipt is not a capacity requirement. No fit or speed verdict is inferred from the file size or a task pass.

The existing shared estimator covers other supported execution settings. Open hardware/model planning · Local Lab estimator and sources. Changing context or model requires recalculation there and task requalification here.

2. Choose a task and its original verifier

Extract an invoice

Turn a small text invoice into four typed fields, preserving a missing bank account as null.

One public synthetic sample passed on 2026-10-28 UTC; 4.181 s answer time and 5.912 s startup. This is dated shared-machine observation, not a general quality or speed estimate.

Download retained working sample kit ↓ · Check the public sample locally

ZIP 64,563 bytes. SHA-256 0758666b59956cf5207b731f4ccf067b241a4703f2d698946fe8b6f98b08e44d

A self-test failed → inspect matching troubleshooting

Repair integer billing rounding

One public Python fixture; one fixed change; original seven tests. No general coding ability claim.

No model task run: two resource preflights have deferred qualification, most recently 2026-10-29 UTC. The runner keeps zero model requests separate from request failures with unknown execution. The original broken fixture fails its tests; a checker reference implementation passes. Those checker tests do not qualify the model.

Download coding fixture and checker (unqualified) ↓ · Inspect coding manifest

ZIP 12,031 bytes. SHA-256 627368b5479142243eb02f90e7ef8a5117d8b9a54c12132240d2857f62448cfc

A self-test failed → inspect matching troubleshooting

3. Diagnose, then rerun the original task

These existing Fix Finder records retain their own exact task and settings. A matching runtime is a reference, not a reproduced repair for your task. Keep the original failure; apply only a supported correction; recalculate changed memory settings; rerun the unchanged verifier. No log text or commands are uploaded or executed by this page.

Return to the invoice verifier → · Browse existing Fix Finder diagnostics

Source health and evidence dates

Journey registry 20261029.2 reuses retained task runs dated October 28 UTC. No measurement date is refreshed by packaging, a metadata check or replaying an output. New runtime metadata cannot inherit a task pass.

Versioned task registry (JSON) · Exact pinned metadata and package health. The health report covers source and package integrity only; it does not qualify this machine or a current runtime.

Setup links contain public configuration fields only. No accounts, uploads or per-visitor AI calls. No telemetry is added. A download is not evidence that the reader ran the task.