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neuron-tai/.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md
2026-07-13 15:09:27 +03:00

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01 — Lock the safetensors-versus-GGUF performance contract

Status: ready-for-agent

Mandatory fresh-session context

  • Read RALPH-CONTEXT.md completely before changing code.
  • This issue is DGR-001 in prd.json.
  • Read the evidence README for every dependency listed below.
  • Inspect current code and git status; historical text and previous agent claims are not evidence.

Description

As a runtime engineer, I need a controlled baseline so that GGUF work proceeds from measured speed, memory, and quality rather than reputation.

Expected durable outputs

  • Benchmark harness and deterministic tests
  • evidence/DGR-001/performance-contract.json
  • Raw and summarized safetensors/GGUF benchmark evidence

Acceptance criteria

  • Benchmark the same model architecture/revision, machine, prompts, context lengths, output lengths, sampling policy, and concurrency across the current Transformers/safetensors recipe and whole-model llama.cpp recipes.
  • Separate correctness/quality lanes from quantized performance/fit lanes instead of claiming BF16 and Q4 are numerically equivalent.
  • Report TTFT, prefill tok/s, decode tok/s, p50/p95 latency, aggregate throughput, RSS, VRAM, artifact size, failures, and output drift in machine-readable JSON.
  • Add concurrency levels 1 and 4 where memory permits.
  • Write a versioned performance contract consumed by later release gates, including an explicit stop condition when llama.cpp/GGUF has no meaningful speed or fit benefit.
  • Targeted pytest tests pass
  • python -m compileall packages tests passes for Python changes
  • git diff --check passes
  • Default tests remain deterministic, model-download-free, API-credit-free, and GPU-free
  • Full deterministic pytest -q passes, or the exact pre-existing unrelated failure is recorded with a clean-tree reproduction
  • Real-model execution is opt-in through MESHNET_ENABLE_REAL_INFERENCE_TESTS=1 and records exact artifact/runtime/hardware evidence
  • Model artifacts remain on the configured mounted-drive storage and never under /home
  • Read .scratch/distributed-gguf-runtime/RALPH-CONTEXT.md and this story issue completely before changing code
  • Read and verify every dependency evidence README before relying on dependency behavior
  • Preserve all pre-existing working-tree changes and stage only files belonging to this story
  • Write .scratch/distributed-gguf-runtime/evidence/DGR-001/README.md with files changed, exact commands and real results, limitations, compatibility notes, and dependent-story handoff
  • Update only this story issue to Status: done after every acceptance criterion and quality gate passes

Dependency handoff

  • None. This story may start immediately.

Finish contract

  • Create the task evidence directory and durable handoff required above.
  • Preserve real failures and blockers; never fabricate benchmark, model, test or hardware output.
  • Change this issue to Status: done only after all criteria pass.
  • Emit <promise>COMPLETE</promise> only after the evidence handoff exists.

References