Files
neuron-tai/.scratch/distributed-gguf-runtime/issues/020-run-the-controlled-whole-model-gguf-baseline.md
Dobromir Popov 966aa10854 distributed-gguf-runtime: add CMake skeleton, gRPC harness, split-GGUF provisioning, performance contracts
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
2026-07-23 09:55:00 +03:00

3.0 KiB

DGR-020: Run the controlled whole-model GGUF baseline

  • Status / triage: completed; passes: true
  • Execution mode: HITL
  • Milestone: M0
  • Dependencies: DGR-019
  • Blocks (derived): DGR-054
  • Labels: area:performance, type:benchmark, priority:p0, gate:hitl, ready-for-human
  • Evidence class: real-hardware
  • Hardware: required
  • Model: generic
  • Upstream: no

Objective / description

Fresh Ralph session: read .scratch/distributed-gguf-runtime/RALPH-CONTEXT.md, source issue .scratch/distributed-gguf-runtime/issues/020-run-the-controlled-whole-model-gguf-baseline.md, and evidence READMEs for dependencies (DGR-019) before changing code. Inspect live source/tests rather than trusting legacy pass states. Objective: Execute the locked safetensors and whole-model llama.cpp lanes before distributed implementation results can influence the decision.

Acceptance criteria

  • Run the exact DGR-019 safetensors and whole-model llama.cpp benchmark lanes with locked prompts, lengths, sampling, concurrency, hardware, and artifact/runtime identities.
  • Record raw machine-readable correctness, TTFT, prefill/decode, throughput, latency, memory, artifact-size, failure, and quality-drift metrics without ingesting distributed implementation results.
  • Separate quantization/model-fit effects from runtime/kernel effects and preserve failed or unavailable lanes honestly.
  • Publish a threshold-based go, optimize baseline, or stop decision without changing the locked contract.
  • Applicable shared quality gates in prd.json pass, and the evidence handoff records exact commands/results, changed files, limitations, and dependency handoff.

Shared quality gates

  • Targeted deterministic tests pass; Python changes also pass python -m compileall packages tests.
  • git diff --check passes.
  • Default tests are model-download-free, API-credit-free, and GPU-free.
  • Evidence README records exact changed files, commands/results, limitations, and dependency handoff; no fabricated evidence or inherited completion credit.
  • Native changes pass focused out-of-tree CMake build and CTest; patch changes verify clean apply/check/reverse against the exact llama.cpp pin.
  • 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.
  • 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.

Evidence handoff

Verified evidence: .scratch/distributed-gguf-runtime/evidence/DGR-020/README.md. Legacy evidence remains provenance only and grants no implementation completion credit.