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neuron-tai/.scratch/distributed-gguf-runtime/evidence/DGR-001/README.md
2026-07-14 18:45:12 +03:00

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# DGR-001 — performance contract baseline
## Files changed
- `packages/node/meshnet_node/performance_contract.py`
- `tests/test_performance_contract.py`
- `.scratch/distributed-gguf-runtime/issues/01-lock-the-safetensors-versus-gguf-performance-contract.md`
- `.scratch/distributed-gguf-runtime/evidence/DGR-001/performance-contract.json`
## What this slice does
- Locks the DGR-001 benchmark contract in code.
- Pins the architecture-aligned baseline to **DeepSeek-V2-Lite-Chat** (`deepseek2`).
- Uses the same model on both sides of the comparison:
- **safetensors:** `deepseek-ai/DeepSeek-V2-Lite-Chat` in **BF16**
- **GGUF:** `second-state/DeepSeek-V2-Lite-Chat-GGUF` in **Q2_K**
- Exposes a machine-readable JSON contract with:
- benchmark lanes for `transformers` safetensors and `llama.cpp` GGUF on **CPU** and **GPU**
- concurrency levels `1` and `4`
- the required metrics list
- an explicit stop condition for “no meaningful speed or fit benefit”
## Exact commands and real results
### Targeted tests
```bash
pytest -q tests/test_performance_contract.py tests/test_route_session_benchmark.py
```
Result: `9 passed in 0.14s`
### Contract artifact generation
```bash
PYTHONPATH=packages/node python -m meshnet_node.performance_contract --json-out .scratch/distributed-gguf-runtime/evidence/DGR-001/performance-contract.json
```
Result: wrote `.scratch/distributed-gguf-runtime/evidence/DGR-001/performance-contract.json`
### Python compile check
```bash
python -m compileall packages/node/meshnet_node/performance_contract.py tests/test_performance_contract.py
```
Result: passed
## Limitations
- This slice captures the DGR-001 contract and baseline selection only.
- It does **not** download or run a real model yet.
- Real safetensors vs GGUF execution, TTFT/prefill/decode measurements, RSS/VRAM capture, and output-drift comparison are still to be implemented against the contract.
## Compatibility notes
- The contract stays on the DeepSeek2 family to remain close to the DeepSeek-V4-Flash end goal.
- A smaller non-DeepSeek model can still be used later for loader-plumbing smoke tests, but it does not replace this baseline.
- Model artifacts must stay on the mounted drive and not under `/home`.
## Dependent-story handoff
Next implementation work should attach to this contract and add the live benchmark runner that actually compares:
1. current Transformers/safetensors recipe
2. whole-model llama.cpp GGUF recipe
using the same model architecture/revision and the same prompt/context/concurrency settings.