Publish exact accepted Canary CPU packed artifact and provenance

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+
+*.pnpak filter=lfs diff=lfs merge=lfs -text
+*.pnpack filter=lfs diff=lfs merge=lfs -text
+*.pnpk filter=lfs diff=lfs merge=lfs -text
+*.pna filter=lfs diff=lfs merge=lfs -text

artifacts/2650726813221f88192c91b781f9dc846c10c520c203c55561ae6edf974213a6/canary-app4.pnpak

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2650726813221f88192c91b781f9dc846c10c520c203c55561ae6edf974213a6
+size 1159876608

models/canary/README.md

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+# Canary packed resource for OpenCC
+
+This is the existing accepted OpenCC Windows CPU packed artifact for Canary 1B v2.
+It is derived from NVIDIA Canary 1B v2 and the GGUF conversion by handy-computer.
+This publication copies the already used artifact byte for byte. It does not train
+a model, run a new conversion, or change the accepted Q8_0/F32 inference recipe.
+
+The packed format is specific to the compatible OpenCC native runtime. It is not
+interchangeable with an arbitrary GGUF, CUDA profile or Metal model file.
+`artifact.json` records the output identity and the exact input GGUF identity.
+
+Attribution: NVIDIA (original Canary model), handy-computer (GGUF distribution),
+OpenCC (runtime-specific packing/layout). The source GGUF is
+[handy-computer/canary-1b-v2-gguf at e2d8e6d7](https://huggingface.co/handy-computer/canary-1b-v2-gguf/tree/e2d8e6d7f2accc1259dc5497b517b4083047e44b).
+The original model is [nvidia/canary-1b-v2](https://huggingface.co/nvidia/canary-1b-v2).
+Applicable model terms: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+The layout/container transformation is the modification described here; model
+authorship and original licensing remain with the respective upstream authors.
+
+Publication is in progress. The complete application resource catalog and its
+HF/ModelScope integration are not yet declared complete. This card makes no new
+model quality or performance claims.

models/canary/artifact.json

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+{
+  "schema": "OpenCC.PublishedModelArtifact/1",
+  "model_id": "canary",
+  "artifact": {
+    "path": "artifacts/2650726813221f88192c91b781f9dc846c10c520c203c55561ae6edf974213a6/canary-app4.pnpak",
+    "format": "OpenCC accepted runtime-specific packed archive",
+    "sha256": "2650726813221f88192c91b781f9dc846c10c520c203c55561ae6edf974213a6",
+    "bytes": 1159876608
+  },
+  "compatible_scope": "Existing accepted Windows x64 CPU v2 profile; not a generic GGUF or Metal/CUDA substitute",
+  "upstream": {
+    "model": "nvidia/canary-1b-v2",
+    "gguf_bytes": 1144290016,
+    "license_url": "https://creativecommons.org/licenses/by/4.0/",
+    "gguf_repository": "handy-computer/canary-1b-v2-gguf",
+    "gguf_revision": "e2d8e6d7f2accc1259dc5497b517b4083047e44b",
+    "gguf_path": "canary-1b-v2-Q8_0.gguf",
+    "license": "CC-BY-4.0",
+    "gguf_sha256": "224f83d1bc487b3303b495a7d6874912fdece93de19d1a04b550829c30a5d289"
+  },
+  "transformation": {
+    "model_training_in_this_publication": false,
+    "publication_copies_existing_bytes": true,
+    "kind": "Existing OpenCC weight packing and layout for the accepted native runtime",
+    "precision": "Original accepted Q8_0/F32 recipe",
+    "requantization_in_this_publication": false,
+    "input_artifact_and_output_sha_differ": true
+  },
+  "status": "Artifact publication candidate; not a statement that the full catalog or application migration is complete"
+}