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neuron-tai/.scratch/distributed-gguf-runtime/ralph-iterations-claude-opus/1d32e8d6_2026-07-15_16-55-01_DGR-001.log
Dobromir Popov 505f37dd8d logs
2026-07-21 14:00:30 +03:00

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# Iteration 2 Log
 
## Metadata
 
- **Task ID**: DGR-001
- **Task Title**: Lock the safetensors-versus-GGUF performance contract
- **Description**: MANDATORY FRESH-SESSION CONTEXT: Read `.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md` and `.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md` co...
- **Status**: failed
- **Task Completed**: Yes
- **Promise Detected**: Yes
- **Started At**: 2026-07-15T13:55:01.898Z
- **Ended At**: 2026-07-15T13:57:30.156Z
- **Duration**: 2m 28s
- **Input Tokens**: 60
- **Output Tokens**: 10835
- **Total Tokens**: 10895
- **Agent**: claude
- **Model**: claude-opus-4-8
- **Sandbox Mode**: auto
- **Sandbox Network**: Enabled
--- RAW OUTPUT ---
I'll start by reading the mandatory context files before doing anything else.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/RALPH-CONTEXT.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md
This is DGR-001. The recent commits ("compare safetensors and gguf", "deterministic CPU/GPU benchmark runner", "live benchmark") suggest work may already be substantially done. Let me check progress, prd.json, and existing evidence.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.ralph-tui/progress.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/prd.json
[Bash] $ echo "=== evidence dir ===" && ls -la .scratch/distributed-gguf-runtime/evidence/ 2>/dev/null && ech...
Substantial work exists. Let me examine the existing evidence and benchmark code to verify against acceptance criteria.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-001/README.md
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/.scratch/distributed-gguf-runtime/evidence/DGR-001/performance-contract.json
Let me examine the implementation module and tests.
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/performance_contract.py
[Read] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/tests/test_performance_contract.py
I now understand the state well. Let me check the working-tree diffs I must preserve, run the current tests, and check the full suite baseline.
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
[Bash] $ cd /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime echo "=== ...
Targeted tests pass and DGR-002's working-tree changes are isolated. Now I'll assess against the acceptance criteria. The contract is solid but has genuine gaps I should close before marking done:
 
1. **AC1** requires the same *prompts, context lengths, output lengths, sampling policy* — these aren't encoded in the versioned contract, so "same across recipes" isn't locked.
2. **AC2** requires explicitly *separating correctness/quality lanes from performance/fit lanes* — currently only an implicit `output_drift`, no explicit quality policy stating BF16≠Q2_K.
3. **AC5** — the gate thresholds (`1.10` speedup, `0.5` artifact ratio) are hardcoded in code, not in the versioned JSON that DGR-014 must consume without changing thresholds.
 
I'll close these three. Let me strengthen the contract module.
[Edit] /run/media/popov/d/DEV/repos/d-popov.com/AI/.claude/worktrees/distributed-gguf-runtime/packages/node/meshnet_node/performance_contract.py edit: "@dataclass(frozen=True)
class BenchmarkLane:
"..." → "@dataclass(frozen=True)
class BenchmarkLane:
"..."
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