Phase 3 — Model Cards and System Cards

The "read the ecosystem" phase begins here. Labs publish dense documents about their models; this phase makes you fluent in extracting the decision-relevant facts — capabilities, limits, safety, license, cost — in minutes, and recording the decision so it's defensible.

Why this phase matters

After Phases 1–2 you understand models mechanically. Now you must read what publishers say about them — and read it skeptically (cards are written by the seller). This skill gates every model choice in Phases 4–5 and every enterprise-readiness review.

Documents

#DocumentTypeWhat you'll be able to do
00How to Read Model CardsConceptDecode the four document types; extract the right facts
01How to Read System CardsConceptTurn safety disclosures into guardrail decisions
02Google DeepMind Model Card GuideConceptPick Gemini variant/channel; verify long context
03Anthropic System Card GuideConceptRead Claude cards; handle extended thinking + retention
04Hugging Face Model Card GuideConceptEvaluate open models for self-hosting (stage/format/license)
05Unsloth Model Page GuideConceptRead quant/MTP claims skeptically; verify on your hardware
06Model Card ChecklistReferenceA copy-paste 5–10 min reading checklist
07Model Selection Memo TemplateTemplateRecord a defensible, reproducible decision

00–05 follow the full 15-section template. 06 (checklist) and 07 (memo) are intentionally reference/template artifacts — copy-paste tools, like the glossary and cheatsheets (how-to-use-this-guide).

How to work through it

Read 00–01 (the general skills), then the publisher guides 02–05 for the ecosystems you use. Keep 06 and 07 open as you go. The lab in each concept doc produces real artifacts — completed checklists, a system-card readiness note, and at least one full selection memo.

Phase 3 artifacts

  • Completed model-card checklists for ≥3 models (lab, HF, provider)
  • A system-card enterprise-readiness note + provider-vs-you responsibilities table
  • A Gemini variant/channel decision and a Claude extended-thinking trade-off table
  • An open-model self-hosting decision (stage/format/license/memory)
  • An Unsloth quant claim verified on your own hardware
  • At least one full Model Selection Memo for a real use case

Next

Phase 4 — Model Catalogs and Trend Reading