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feat(240m): Session 8-9 eval, certification and blend tooling pre-eval - #17
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- S9 certification runner (adds --out-dir and --no-vault-handoff so re-runs on other checkpoints do not overwrite the golden S9 reports)
- Hermes specialized 1000-case suite builder, uncapped runner and scorer; runner watchdog now times decoding only (token-by-token prefill used up to 7 of 10 s on long-context prompts) and logs prefill/decode seconds
- S8 DPO prompt build/verify/top-up scripts, S6/S8 blend sweep, converse.py, identity/honesty/benign-refusal/16k long-context evals, 900-point grader
- NPU exporter: 32-step multi-provider parity check
- Model card draft; licence policy copy
- .gitignore: keep licensed/unverified data and held-out eval keys out of the public repo
- S9 certification runner (adds --out-dir and --no-vault-handoff so re-runs on other checkpoints do not overwrite the golden S9 reports) - Hermes specialized 1000-case suite builder, uncapped runner and scorer; runner watchdog now times decoding only (token-by-token prefill used up to 7 of 10 s on long-context prompts) and logs prefill/decode seconds - S8 DPO prompt build/verify/top-up scripts, S6/S8 blend sweep, converse.py, identity/honesty/benign-refusal/16k long-context evals, 900-point grader - NPU exporter: 32-step multi-provider parity check - Model card draft; licence policy copy - .gitignore: keep licensed/unverified data and held-out eval keys out of the public repo
Hermes-1000 strict blind grading (all checkpoints ~2%), strict 60-probe re-grade, controls, S9 gates on the blend, and problems found in the evaluation instruments.
Per-session BPB, answering and behaviour tables, root causes (SFT tool-call data, ineffective S8 DPO, test-set selection), staged 85-90% gate targets and the S10 training/eval design.
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