966aa10854
DGR-019 Lock alpha/beta performance contracts (evidence + contract framework) DGR-020 Run controlled whole-model GGUF baseline (benchmark results & contracts) DGR-024 Real generated-gRPC protocol harness (shard_runtime_server.py + tests) DGR-026 split-GGUF provisioning outside /home (provision script + manifest + tests) DGR-028 Numbered patch-stack apply & verify (llama_cpp_dependency.py + UPSTREAM_LOCK.json) DGR-029 Native CMake skeleton + deterministic CPU lane (UPSTREAM_LOCK.json + cmake gating) New modules: packages/node/meshnet_node/dgr_performance/ — performance contract framework packages/node/meshnet_node/split_gguf/ — split-GGUF manifest & provisioning scripts/provision_split_gguf.py — artifact provisioning CLI tests/test_dgr_performance_contract.py — contract validation tests tests/test_split_gguf_manifest.py — manifest tests tests/test_split_gguf_provision.py — provisioning tests tests/test_shard_runtime_harness.py — gRPC harness tests
41 lines
3.1 KiB
Markdown
41 lines
3.1 KiB
Markdown
<!-- GENERATED FROM prd.json — DO NOT EDIT AS AN INDEPENDENT SOURCE. prd.json IS AUTHORITATIVE. -->
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# DGR-019: Lock alpha and beta performance contracts
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- **Status / triage:** completed; `passes: true`
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- **Execution mode:** `HITL`
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- **Milestone:** `M0`
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- **Dependencies:** `DGR-017`
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- **Blocks (derived):** `DGR-020`, `DGR-044`, `DGR-054`
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- **Labels:** `area:performance`, `type:contract`, `priority:p0`, `gate:hitl`, `ready-for-human`
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- **Evidence class:** `release`
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- **Hardware:** `required`
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- **Model:** `generic+deepseek-v4`
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- **Upstream:** `no`
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## Objective / description
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Fresh Ralph session: read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md`, source issue `.scratch/distributed-gguf-runtime/issues/019-lock-alpha-and-beta-performance-contracts.md`, and evidence READMEs for dependencies (DGR-017) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Freeze useful speed, correctness, memory-fit, and stop/go thresholds before implementation results are visible.
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## Acceptance criteria
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- [x] Define controlled safetensors, whole-model GGUF, dense distributed GGUF, and V4 Flash distributed lanes with fixed prompts, context/output lengths, sampling, concurrency, hardware, and metrics.
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- [x] Alpha requires correctness plus a human-approved useful-speed threshold; beta adds concurrency, long-context, failure, and sustained-throughput thresholds.
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- [x] Separate quantization/model-fit gains from runtime, transport, batching, and kernel gains.
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- [x] Treat quants and 2–4/10+ stage counts only as named certification scenarios; no product logic may hardcode them.
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- [x] Lock thresholds and stop conditions in versioned machine-readable data before benchmark result ingestion.
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- [x] Applicable shared quality gates in `prd.json` pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.
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## Shared quality gates
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- Targeted deterministic tests pass; Python changes also pass `python -m compileall packages tests`.
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- `git diff --check` passes.
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- Default tests are model-download-free, API-credit-free, and GPU-free.
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- Evidence README records exact changed files, commands/results, limitations, and dependency handoff; no fabricated evidence or inherited completion credit.
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- Native changes pass focused out-of-tree CMake build and CTest; patch changes verify clean apply/check/reverse against the exact llama.cpp pin.
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- Runs are opt-in and record exact artifact/split hashes, runtime/upstream pin, backend/driver, hardware, network, commands, and raw metrics. Model artifacts use configured mounted-drive storage and never `/home`.
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- Preserve existing Transformers behavior and backend-agnostic Tracker routing/load balancing/billing/relay semantics unless an explicit versioned contract says otherwise. One scoped story commit is expected during execution, but this specification-materialization change is not committed.
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## Evidence handoff
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Verified evidence: `.scratch/distributed-gguf-runtime/evidence/DGR-019/README.md`. Legacy evidence remains provenance only and grants no implementation completion credit.
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