feat(cookbook): add DGX Spark support for Inkling-Small (#33131)
Co-authored-by: Zijie Xia <zijie.xia@radixark.ai> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
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Zijie Xia
Claude Opus 5
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3e0f7c3f30
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@@ -45,7 +45,10 @@ than restating.
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- No `!(x in y)` anywhere (Mintlify AST walker crashes) — use `obj.key === undefined`.
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- `supportedHardware` ⊆ `HARDWARE_CATALOG` (in `_deployment.jsx`) ∪ `config.hardware`. A
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model-specific GPU the shared catalog lacks must be declared in `config.hardware`
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(`{id,label,vram,vendor}`), **not** added to the engine catalog.
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(`{id,label,vram,vendor}`), **not** added to the engine catalog — unless the platform is
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genuinely shared, which is an engine change the PR body has to argue (and the
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`cookbook-add-model` hardware table moves with it). A new catalog entry is inert for
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other pages: each filters the catalog by its own `supportedHardware`.
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- `placeholders` declares every `{{KEY}}` used in `curl` or any cell.
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- `modelNames` covers every cell (by `hw|variant|quant` triple or `variant|quant` pair).
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- `strategies` count matches the page's operating points — 1 recipe → a single `balanced`;
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@@ -66,6 +69,9 @@ than restating.
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a different image (e.g. an FP4 dev build) — don't flag those.
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- `multiNodeHints` present ONLY for hw whose fabric needs manual NIC env (e.g. `gb200`
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NVL72) — NOT every `multi-N` hw (standard-IB DeepEP / Marlin multi-node don't need it).
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Hints render above BOTH run modes, so flag one that reads as docker-only ("add these
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docker run flags") — `docker run` flags belong in the hardware entry's
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`multiNodeDockerFlags`, which the engine emits into the Docker command itself.
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- `github.cookbookModel` is set to the model's HF id (`<hf-org>/<model-slug>`). The issue
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template's `model` field is a free-form input prefilled from this value; if the config
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omits the `github` block, the engine falls back to `deepseek-ai/deepseek-v4` and the
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