Renumber spec 001 decision placeholders to D-040–D-051; record the Danish publication

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

src/lib/models.ts

@@ -36,14 +36,14 @@ export interface DtypeDefault {
 }
 
 /**
- * Which inference path a catalog entry runs on (D-WS7a). Whisper models use
+ * Which inference path a catalog entry runs on (D-051). Whisper models use
  * the Transformers.js ASR pipeline; Parakeet uses the worker's own TDT path
  * (src/worker/parakeetEngine.ts). Absent ⇒ "whisper", so the Whisper entries
  * carry no field at all.
  */
 export type ModelFamily = "whisper" | "parakeet";
 
-/** Exact weight-file sizes per dtype, for entries whose files we know (D-WS7a). */
+/** Exact weight-file sizes per dtype, for entries whose files we know (D-051). */
 export interface ExactModelBytes {
   encoder: Partial<Record<WhisperDtype, number>>;
   decoder: Partial<Record<WhisperDtype, number>>;
@@ -54,7 +54,7 @@ export interface ExactModelBytes {
 export interface WhisperModel {
   /** Hugging Face Hub id, e.g. "onnx-community/whisper-tiny.en". */
   id: string;
-  /** Inference path (D-WS7a); absent ⇒ "whisper". */
+  /** Inference path (D-051); absent ⇒ "whisper". */
   family?: ModelFamily;
   /**
    * Real file sizes; when present they replace the parameter-count estimate
@@ -67,11 +67,11 @@ export interface WhisperModel {
   multilingual: boolean;
   /**
    * Whether Whisper's own `task: "translate"` (speech → English text) is
-   * offered (D-WS4a). False for every `.en` model (no task token) and for
+   * offered (D-044). False for every `.en` model (no task token) and for
    * large-v3-turbo, which OpenAI did not train for translation — and for any
    * turbo-based fine-tune not tested for it. The UI hides "Translate to
    * English" where false; text translation of a finished transcript
-   * (D-WS4b) works for every model regardless.
+   * (D-045) works for every model regardless.
    */
   canTranslate: boolean;
   /** Encoder parameter count, in millions (drives size estimates). */
@@ -86,7 +86,7 @@ export interface WhisperModel {
    * CTranslate2 conversions on the Hub (`Systran/faster-whisper-*`;
    * large-v3-turbo → `mobiuslabsgmbh/faster-whisper-large-v3-turbo`), so the
    * pinned library version stays the single authority on the exact repo.
-   * Absent for browser-only families (Parakeet, D-WS7a): the server engine
+   * Absent for browser-only families (Parakeet, D-051): the server engine
    * answers 400 for them and the picker hides them while it is selected.
    */
   fasterWhisperModel?: string;
@@ -212,12 +212,12 @@ const ACCEL_Q4: DtypeDefault = {
 };
 
 // ---------------------------------------------------------------------------
-// Danish fine-tunes (D-WS6a)
+// Danish fine-tunes (D-046)
 // ---------------------------------------------------------------------------
 
 /**
  * Hugging Face account that hosts our conversions of the Danish Whisper
- * fine-tunes (D-WS6a). Both the ONNX repo (browser engine) and the
+ * fine-tunes (D-046). Both the ONNX repo (browser engine) and the
  * CTranslate2 int8 repo (server engine) hang off this one value. Only
  * whisper-small-danish is published: the turbo fine-tunes (turbo-danish,
  * edda-v0.2) showed no clear gain over stock turbo on our Danish clip.
@@ -225,14 +225,14 @@ const ACCEL_Q4: DtypeDefault = {
 export const DANISH_MODELS_HF_OWNER = "lucasw89";
 
 /**
- * WASM default for the Danish conversions (D-WS6a): measured on our own files
+ * WASM default for the Danish conversions (D-046): 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).",
+  note: "q4: best measured WER and fastest of q8/q4 on our Danish conversions (D-046).",
 };
 
 /** Catalog id + matching faster-whisper repo for one published conversion. */
@@ -247,7 +247,7 @@ function danishRepos(name: string): Pick<WhisperModel, "id" | "fasterWhisperMode
 // The catalog (D-006: curated, not exhaustive)
 // ---------------------------------------------------------------------------
 
-/** Parakeet TDT 0.6B v3 ONNX repo and the revision its file sizes were taken from (D-WS7a). */
+/** Parakeet TDT 0.6B v3 ONNX repo and the revision its file sizes were taken from (D-051). */
 export const PARAKEET_MODEL_ID = "ysdede/parakeet-tdt-0.6b-v3-onnx";
 export const PARAKEET_REVISION = "e5356bf6e24bdb7a269536b0e9e7869bc034b893";
 
@@ -347,13 +347,13 @@ export const MODELS: readonly WhisperModel[] = [
     displayName: "Whisper Large v3 Turbo",
     multilingual: true,
     // Not trained for translation (OpenAI's turbo model card); its
-    // "translate" output is unreliable (D-WS4a).
+    // "translate" output is unreliable (D-044).
     canTranslate: false,
     encoderParamsM: 635,
     decoderParamsM: 174,
     defaults: { wasm: WASM_Q4, webgpu: WEBGPU_FP16_Q4, webnn: WEBNN_FP16 },
   },
-  // Danish fine-tune (D-WS6a): unchanged Whisper architecture, so the
+  // Danish fine-tune (D-046): unchanged Whisper architecture, so the
   // parameter counts are its base model's. Conversions by us, weights by
   // the original authors (credited in each published repo's model card).
   {
@@ -361,7 +361,7 @@ export const MODELS: readonly WhisperModel[] = [
     ...danishRepos("whisper-small-danish"),
     displayName: "Whisper Small (Danish)",
     multilingual: true,
-    // Translation untested on these fine-tunes (spec 001, D-WS4a).
+    // Translation untested on these fine-tunes (spec 001, D-044).
     canTranslate: false,
     encoderParamsM: 88,
     decoderParamsM: 156,
@@ -369,7 +369,7 @@ export const MODELS: readonly WhisperModel[] = [
   },
   {
     // NVIDIA Parakeet TDT 0.6B v3 (CC-BY-4.0), NeMo→ONNX conversion by
-    // ysdede, run through parakeet.js on our onnxruntime-web (D-WS7a).
+    // ysdede, run through parakeet.js on our onnxruntime-web (D-051).
     // English-only in this app (the model itself knows 25 European
     // languages, but only English is measured here). Desktop-only: its
     // ~1.3 GB load peak is far past every phone budget (D-027–D-029), so
@@ -391,10 +391,10 @@ export const MODELS: readonly WhisperModel[] = [
       wasm: {
         dtype: "q8",
         verified: false,
-        note: "int8 encoder + decoder: the measured WASM path (D-WS7a).",
+        note: "int8 encoder + decoder: the measured WASM path (D-051).",
       },
       // Only used when WebGPU is chosen explicitly — "auto" never picks it
-      // for Parakeet (D-WS7a): int8 on WebGPU is reported broken, and fp16
+      // for Parakeet (D-051): int8 on WebGPU is reported broken, and fp16
       // is a separate 1.24 GB download. The decoder stays int8 on WASM.
       webgpu: {
         dtype: { encoder_model: "fp16", decoder_model_merged: "q8" },
@@ -424,7 +424,7 @@ export function getFasterWhisperModel(id: string): string | undefined {
 }
 
 /**
- * The task a run on `modelId` should actually use (D-WS4a): a "translate"
+ * The task a run on `modelId` should actually use (D-044): a "translate"
  * left over from a model that could translate falls back to "transcribe" on
  * one that cannot (large-v3-turbo, `.en`, unknown ids). App applies it on
  * every model switch and again when building each run's options.