The repo is now a stronger alpha control shell than the original upload. The execution spine is materially improved:
- adapters return structured responses
- backend checks can enforce a real live backend
- benchmark runs emit run IDs, failure state, and latency
- scoring is task-aware instead of purely keyword-based
- promotion stores richer ledger metadata and dedupes by run
- the full candidate gate actually includes backend verification
The repo is still not a finished production cognition stack. The remaining hard blockers are:
- real trainer wiring for LoRA/SFT and preference stages
- real merge of adapters/checkpoints
- real GGUF export/conversion
- real quantization retention comparisons against the produced candidate
- deeper benchmark suites generated from the surrounding ecosystem repos
This phase adds the next necessary scaffolding rather than pretending those hard blockers are solved:
- deterministic artifact manifests for training, merge, and GGUF export stages
- a candidate artifact chain runner
- curated source-ingestion scripts for the supporting packages
- new dataset families to hold extracted ecosystem signal
- schemas for artifact manifests and source-ingestion manifests
- Run the supporting repo ingestion scripts against the uploaded packages.
- Review the emitted JSONL records and prune weak ones.
- Wire a real trainer/export stack into the artifact chain.
- Expand benchmarks using the curated records before claiming major capability jumps.