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Evaluation Recipes
pinokio edited this page Sep 28, 2026
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How an adapter evaluation is run. The measured settings and their evidence are in RECIPES.md.
Use the evaluator in the repository, with one server and two adapter scales:
- base arm: adapter scale 0.0;
- adapter arm: the adapter's declared scale — 1.0, unless a recorded scale sweep chose another value.
Both arms use:
- temperature 0;
- batch size 25;
- a JSON schema on each request;
- the same prompt variant.
- accuracy, and the number of unanswered lines and parser failures;
- the score for each book;
- the adapter hash and the base-model hash;
- the prompt variant;
- runtime details (server build, GPU, context length).
- Never from a batch-size-1 smoke test. Promotion needs the product-window evaluation and a clean served-contract preflight (see Setup and serving).
- If a pilot chooses a scale other than 1.0, repeat that exact scale over the full test set and report every scale that was tried. Never relabel a scale-1 failure as a success.
- Quote the test set every time. The same adapter can gain on one test set and not on another (see Prompts and adapters).
- Check the scorer as well as the model. The 2026-09-28 rescore changed ten verdicts because correct short names were being scored wrong.
Keep hosted-API results, which are base-only, separate from adapter evaluations.
The Nemotron 3 Ultra 550B A55B runs of 2026-09-22 went through OpenRouter with
michel2_full, low reasoning, temperature 0, batch size 8, and no structured output. Per-book
scores:
| book | accuracy |
|---|---|
| Mansfield Park | 96.7% |
| Northanger Abbey | 97.6% |
| Persuasion | 97.1% |
| The Sign of the Four | 85.3% (96.6% after the 2026-09-28 rescore) |
| The Sun Also Rises | 87.3% |
- These are independent books: do not pool them into one model score, and do not read them as adapter effects.
- OpenRouter reported the requested model. Routing preferred Baseten, then Venice, with fallbacks; the provider's hardware was not observed.
- Denominators and artifacts: RECIPES.md.
Alexandria Audiobook2 · Repository · Issues
The user-guide pages started from the original Alexandria wiki and are kept up to date for this fork; the research pages document this fork's measured results.
Start here
Make an audiobook
Build voices
Reference
Research
- Which model for your card
- Results
- Prompts and adapters
- Evaluation recipes
- Thunder operations
- Hugging Face releases
日本語ガイド