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PostTrainLLM docs

Mac-local LLM specialist factory — training, inference, evals, systems notes, and learning paths.

PostTrainLLM documentation

PostTrainLLM is a Mac-local learning lab and specialist factory. The current owner learning route is the 13-week inference-systems sprint, beginning 28 September 2026. The retained factory loop is target → data → post-training → eval → package → report. The docs keep those two jobs separate so an old plan never looks like today’s assignment.

Start learning

  1. Open the course workspace for the 13-week route and the prerequisite path.
  2. Open the single Next Session for the current exercise, evidence to save, and recall schedule.
  3. Use the ground-up curriculum only when an entry check reveals a gap. The full learning index remains available for deeper reading.

The first week asks you to predict tensor shapes and causal influence, trace token IDs to logits, and run one bounded CPU reference check. No owner checkpoint or completed mastery gate is implied by this navigation.

Find a document

Shelf Use it for
Learning library Foundations, systems concepts, case studies, and practical paths
Factory handbook Run schema, eval protocol, packaging, and reports
Techniques and recipes Retained methods and bounded recipes
Attempt ledger What worked, failed, regressed, or received a final disposition
Document library map The full reference, evidence, research, PRD, parked, and archive shelves

The project status and closure rule govern any new experiment. Historical TODOs and PRDs are context, not active tasks. For maintainer reading order, see the golden path; for conflicting documents, use the status registry.

Every published page also has a Markdown mirror: append .md to its docs URL.

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