gpt-2-model-page#136
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…model-page contract]
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Mergeability follow-up: the required |
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Mergeability follow-up: the required |
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Mergeability follow-up: the required |
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Mergeability follow-up: required workflow run |
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Mergeability follow-up: required workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run \ attempt \ had the required \ lane stuck on \ from \ through , well past the 15-minute workflow threshold. I first reproduced the lane locally on the current reviewed head ; the initial local repro exposed a workstation-only \ failure while formatting , so I cleared generated build output in this worktree and reran \bun run build:export Creating an optimized production build ... Route (app) ○ (Static) prerendered as static content Wrote advanced Orama search bootstrap to /Users/abdifamily/work/learn-agent-factories/.claude/worktrees/gpt-2-model-page/out/api/search, /Users/abdifamily/work/learn-agent-factories/.claude/worktrees/gpt-2-model-page/out/api/search.vi, /Users/abdifamily/work/learn-agent-factories/.claude/worktrees/gpt-2-model-page/out/api/search.ja. |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
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Mergeability follow-up: workflow run |
1 participant
{
"project": "Model Atlas — GPT-2 Canonical Model Page",
"branchName": "gpt-2-model-page",
"description": "Publish one canonical English
gpt-2model page, backed by registry data and localized messages, so readers can discover a representative early decoder-only transformer model family, understand what GPT-2 was and why it mattered, and branch into the right architecture, tokenization, module, and training pages.","context": {
"customerAsk": "Add the canonical English model page for
GPT-2so a reader can look up one representative model family and then branch into the right architecture, tokenization, and training pages. Keep this as one narrow, reviewable model-page slice on currentmain. Scope: createsrc/content/docs/models/gpt-2/withpage.mdx,messages/en.json, andassets.json, plus the backing registry record undersrc/content/registry/models/if it does not already exist; classify it as amodel; connect it totransformer,tokenizers-overview,byte-level-tokenization,learned-positional-embeddings,multi-head-attention,feed-forward-network,pretraining, and the GPT-2 report paper page if present or added in this batch; and add only the focused validation/tests needed for the touched content surfaces. The page should explain what GPT-2 is, why it mattered historically, what its overall decoder-only transformer architecture looks like, and which ideas a normal reader should learn next.","problem": "The site already has supporting pages for key GPT-2-adjacent ideas such as multi-head attention, byte-level tokenization, learned positional embeddings, and the broader transformer architecture, but it does not yet give readers one canonical model-family destination that ties those parts together through a concrete example. Without a GPT-2 model page, readers lack an approachable entry point for an early decoder-only transformer, discovery surfaces have no stable
gpt-2result to route to, and adjacent module or concept pages cannot point back to a representative model-family explainer. The branch also currently relies on thecitation.gpt-2-reportrecord rather than a shipped GPT-2 report paper page, so the model slice must tolerate that page being absent on currentmainwithout creating broken links.","solution": "Create a canonical
gpt-2model page with English-only message-driven content, a matching model registry record, and the minimal local assets needed by the model template. Classify it as amodelin the GPT family, wire it to the shipped transformer and tokenization pages through registry relationships and page rendering, and conditionally connect it topretrainingand the GPT-2 report paper page when those canonical targets exist in the branch by implementation time. Use the existing model-page structure so the route, search, tags, related docs, module list, and references all work as one small, reviewable reader journey slice."},
"acceptanceCriteria": [
"A published canonical docs page exists for
gpt-2with a matching model registry record, English messages, and any required local assets.","The page is classified as a
modeland presented as a representative GPT-family decoder-only transformer page rather than as a concept, module, or paper page.","The page follows docs-writing standards with one folded
openingSummary, layperson-friendly language, a clear first-use expansion ofGenerative Pre-trained Transformer 2, and no phase/process/meta language.","The page explains what GPT-2 is, why it mattered historically, what its decoder-only transformer architecture looks like, and which adjacent ideas readers should learn next.",
"Search, tags, module lists, and related-doc surfaces can discover the
gpt-2page and route readers towardtransformer,tokenizers-overview,byte-level-tokenization,learned-positional-embeddings,multi-head-attention, andfeed-forward-network.","The page links or derives related navigation to
pretrainingand the GPT-2 report paper page when those canonical targets exist in the branch, and does not emit broken links when they do not.","Focused validation covers registry/message integrity plus at least one route, search, or related-doc expectation specific to
gpt-2.","Quality gate: make typecheck, make lint, and make test pass."
],
"userStories": [
{
"id": "gpt-2-model-page-001",
"title": "Establish GPT-2 as a first-class model record",
"description": "As a reader searching for GPT-2, I want the site to treat it as a canonical model-family page so I can reach one authoritative explainer from search and related-doc surfaces.",
"acceptanceCriteria": [
"A published model registry record exists for
gpt-2with stable idmodel.gpt-2, canonical sluggpt-2, GPT-family classification, and aliases covering representative search forms such asGPT-2,Generative Pre-trained Transformer 2, andgpt2.","Registry relationships connect
gpt-2toconcept.transformer-architecture,concept.tokenizers-overview,module.byte-level-tokenization,module.learned-positional-embeddings,module.multi-head-attention, andmodule.feed-forward-network.","The record cites
citation.gpt-2-reportand conditionally links to the canonicalpretrainingtraining-regime page and GPT-2 report paper page when those registry records exist in the branch by implementation time.","Registry metadata is sufficient for search, tags, model-family grouping, and related-doc derivation without inventing placeholder pages or broken references.",
"Typecheck passes",
"Tests pass"
],
"priority": 1,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-model-page-002",
"title": "Publish the canonical GPT-2 explainer page",
"description": "As a technical layperson learning language models, I want a dedicated GPT-2 page so I can understand what the model is, why it became historically important, and how its decoder-only transformer stack is organized.",
"acceptanceCriteria": [
"A canonical model page exists at
/docs/models/gpt-2with matching frontmatter,messages/en.json, and any required localassets.json.","The page opens with one folded
openingSummaryand explains GPT-2 in plain language before narrowing into historical impact and architecture details.","The architecture section explains a decoder-only transformer stack with learned positional embeddings, masked multi-head attention, feed-forward layers, and next-token prediction, using the model-page teaching visual expected by the template when that visual materially improves comprehension.",
"The page includes the standard model-page sections for what it is, inputs and outputs, architecture, important modules, training, practical notes, related, tags, and references, and those sections render from registry-backed components without missing-content placeholders.",
"The page tells readers which adjacent pages to open next for transformer architecture, tokenizers overview, byte-level tokenization, learned positional embeddings, multi-head attention, feed-forward networks, and pretraining where present.",
"Typecheck passes",
"Tests pass",
"Verify in browser using the Browser plugin"
],
"priority": 2,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-model-page-003",
"title": "Make GPT-2 discoverable through reader navigation",
"description": "As a reader exploring model families, I want search, tags, and related docs to route me into GPT-2 so I can use one concrete model page to branch into the surrounding architecture and tokenization concepts.",
"acceptanceCriteria": [
"Representative queries such as
GPT-2,gpt2,decoder-only transformer, orbyte-level tokenization modelreturn the canonicalgpt-2page as a direct relevant result when the user intent is to find the GPT-2 family.","The
gpt-2page renders tags, module relationships, and related-doc surfaces that connect it to the shipped adjacent pages for transformer architecture, tokenizers overview, byte-level tokenization, learned positional embeddings, multi-head attention, and feed-forward networks.","If canonical
pretrainingand GPT-2 report paper pages are present in the branch, thegpt-2page exposes them as navigable related or training destinations; if they are absent, the page still renders cleanly without broken links or empty error states.","At least one neighboring discovery surface or adjacent canonical page can route readers into
gpt-2without requiring them to type the slug directly.","Browser-visible rendering shows title, summary, tags, related docs, module list, and references without broken links or missing-content placeholders.",
"Typecheck passes",
"Tests pass",
"Verify in browser using the Browser plugin"
],
"priority": 3,
"passes": true,
"notes": ""
},
{
"id": "gpt-2-model-page-004",
"title": "Add focused validation for the GPT-2 model-page contract",
"description": "As a maintainer, I want targeted automated proof for the GPT-2 slice so registry, messages, route wiring, and discovery regressions are caught without unrelated test expansion.",
"acceptanceCriteria": [
"Validation or test coverage confirms the
gpt-2route, registry record, and default English messages resolve together.","Coverage asserts at least one page-specific search, tag, module-list, or related-doc expectation for
gpt-2.","Coverage stays focused on observable behavior for this page slice and does not require unrelated route inventories, locale-manifest churn, or meta-test scaffolding.",
"Typecheck passes",
"Tests pass"
],
"priority": 4,
"passes": true,
"notes": ""
}
]
}