Merge feat/danish-models: Danish fine-tune catalog entries (spec 001 workstream 6)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

# Conflicts:
#	docs/Decisions.md
#	docs/WorkBreakdown.md

src/lib/models.ts

@@ -173,6 +173,38 @@ const ACCEL_Q4: DtypeDefault = {
   note: "q4: the medium fp16 conversions fail to load / overflow (D-022).",
 };
 
+// ---------------------------------------------------------------------------
+// Danish fine-tunes (D-WS6a)
+// ---------------------------------------------------------------------------
+
+/**
+ * Hugging Face account that hosts our conversions of the Danish Whisper
+ * fine-tunes (D-WS6a). Both the ONNX repos (browser engine) and the
+ * CTranslate2 int8 repos (server engine) hang off this one value, so
+ * publishing under the owner's account is a one-line change here. Until the
+ * owner confirms the account and the repos exist, it stays a placeholder.
+ */
+export const DANISH_MODELS_HF_OWNER = "PENDING-OWNER";
+
+/**
+ * WASM default for the Danish conversions (D-WS6a): measured on our own files
+ * (da_festuge, onnxruntime-node CPU), q4 matched or beat q8 on WER and was
+ * faster for all three — small included, unlike the stock small (q8).
+ */
+const DANISH_WASM_Q4: DtypeDefault = {
+  dtype: "q4",
+  verified: false,
+  note: "q4: best measured WER and fastest of q8/q4 on our Danish conversions (D-WS6a).",
+};
+
+/** Catalog id + matching faster-whisper repo for one published conversion. */
+function danishRepos(name: string): Pick<WhisperModel, "id" | "fasterWhisperModel"> {
+  return {
+    id: `${DANISH_MODELS_HF_OWNER}/${name}-ONNX`,
+    fasterWhisperModel: `${DANISH_MODELS_HF_OWNER}/${name}-ct2-int8`,
+  };
+}
+
 // ---------------------------------------------------------------------------
 // The catalog (D-006: curated, not exhaustive)
 // ---------------------------------------------------------------------------
@@ -279,6 +311,43 @@ export const MODELS: readonly WhisperModel[] = [
     decoderParamsM: 174,
     defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
   },
+  // Danish fine-tunes (D-WS6a): unchanged Whisper architectures, so the
+  // parameter counts are their base models'. Conversions by us, weights by
+  // the original authors (credited in each published repo's model card).
+  {
+    // thorhojhus/whisper-small-danish (MIT), fine-tune of whisper-small.
+    ...danishRepos("whisper-small-danish"),
+    displayName: "Whisper Small (Danish)",
+    multilingual: true,
+    // Translation untested on these fine-tunes (spec 001, D-WS4a).
+    canTranslate: false,
+    encoderParamsM: 88,
+    decoderParamsM: 156,
+    defaults: { wasm: DANISH_WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
+  },
+  {
+    // thorhojhus/whisper-large-v3-turbo-danish (MIT).
+    ...danishRepos("whisper-large-v3-turbo-danish"),
+    displayName: "Whisper Large v3 Turbo (Danish)",
+    multilingual: true,
+    // Translation untested on these fine-tunes (spec 001, D-WS4a).
+    canTranslate: false,
+    encoderParamsM: 635,
+    decoderParamsM: 174,
+    defaults: { wasm: DANISH_WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
+  },
+  {
+    // danish-foundation-models/edda-v0.2 (Apache-2.0, Alexandra Institute),
+    // fine-tune of whisper-large-v3-turbo.
+    ...danishRepos("edda-v0.2"),
+    displayName: "Edda v0.2 (Danish)",
+    multilingual: true,
+    // Translation untested on these fine-tunes (spec 001, D-WS4a).
+    canTranslate: false,
+    encoderParamsM: 635,
+    decoderParamsM: 174,
+    defaults: { wasm: DANISH_WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
+  },
 ];
 
 export function getModel(id: string): WhisperModel | undefined {