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  1. inference-quantization inference-quantization Public

    Quantize a checkpoint and prove it in DSH: PTQ with a leak-free calibration split, independent accuracy and performance gates through real serving endpoints, auto-degrade, signed-off audit or rollb…

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  2. inference-serving inference-serving Public

    Deploy a checkpoint as a reachable inference endpoint in DSH: probe, backend select, three-stage health check, registration, auto-degrade (memory/concurrency/precision/port), rollback, teardown — h…

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  3. dsh-visual-memory dsh-visual-memory Public

    Lossless visual memory for DSH agents: store an image once, address it by sha256, read exact pixels, compare past frames, recall by text/tag/turn — no second vision model in the loop.

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  4. inference-diagnose inference-diagnose Public

    Diagnose an inference service from evidence: generate a sanitized collection script, parse it offline, rank root causes with falsifiers, re-collect only what is missing. Hash-chained audit; five re…

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  5. inference-tuning inference-tuning Public

    Find the root-cause wall, apply the top intervention, prove it with a two-sided gate — or roll back. Engine- and hardware-neutral: no implicit defaults, spec-sheet values are never load-bearing.

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  6. ai-infra-core ai-infra-core Public

    Seven zero-dependency primitives for proving things about models — measurement validity, leakage-free splits, audit chains, sandbox probes — and failing loudly when a proof is invalid.

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