neuron-tai/.scratch/distributed-gguf-runtime/evidence/DGR-001/BLOCKED.md

DGR-001 real-benchmark blocker

Status: blocked only for the required real-model measurement. The deterministic harness, report schema, and immutable contract are implemented and tested; this file deliberately does not turn an unrun benchmark into a passing result.

Verified environment state (2026-07-13)

• Mounted GGUF artifacts exist under /run/media/popov/DATA/llm/.
• llama-server is not on PATH.
• The available Python test environment has neither torch nor transformers.
• No matching local safetensors snapshot was found for an installed GGUF recipe.

Therefore this session cannot run the controlled same-model, same-revision, same-machine comparison without downloading/installing new runtime/model assets. That is intentionally not inferred from the story request.

Continuation

1. Put a matching safetensors snapshot and near-lossless plus quantized GGUF artifacts below one mounted-drive root, never /home.
2. Install or build the pinned llama-server, and use .venv-rocm when testing the Radeon backend.
3. Compute each artifact SHA-256 and create a config declaring the same source_model_id and source_model_revision for every recipe.
4. Run the command in commands.txt with MESHNET_ENABLE_REAL_INFERENCE_TESTS=1; save its JSON report and summary in this directory, then evaluate it against performance-contract.json.
5. Only after those results and all quality gates pass may DGR-001 be marked done and DGR-004 consume the baseline.