Publish independently measured fast and five-minute quality Core AI bundles

.gitattributes

@@ -33,3 +33,13 @@ 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
+fast/decoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+fast/decoder.f32 filter=lfs diff=lfs merge=lfs -text
+fast/decoder_batch.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+fast/encoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+fast/mel-filter.f32 filter=lfs diff=lfs merge=lfs -text
+fast/subsampling.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+quality/decoder.f32 filter=lfs diff=lfs merge=lfs -text
+quality/encoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+quality/mel-filter.f32 filter=lfs diff=lfs merge=lfs -text
+quality/subsampling.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,396 @@
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+

NOTICE

@@ -0,0 +1,7 @@
+Core AI conversion of NVIDIA nvidia/parakeet-tdt-0.6b-v2
+Upstream revision: ae9ad07059c7c739ffaf932226a8fe64ae2620b0
+License: Creative Commons Attribution 4.0 International.
+https://creativecommons.org/licenses/by/4.0/
+Changes: channels-first Core AI graphs, W8A16 encoder quantization with selected FP16 projections,
+Fourier/sinusoidal relative-position evaluation, exact tiled subsampling, batched decoder
+and removal of authoring source metadata. No NVIDIA endorsement is implied.

README.md

@@ -0,0 +1,71 @@
+---
+license: cc-by-4.0
+base_model: nvidia/parakeet-tdt-0.6b-v2
+pipeline_tag: automatic-speech-recognition
+---
+
+# Parakeet TDT 0.6B V2 — Core AI
+
+Apple Core AI conversion of [NVIDIA Parakeet V2](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2),
+pinned to `ae9ad07059c7c739ffaf932226a8fe64ae2620b0`. Converted weights retain the upstream
+[Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/) license.
+See LICENSE and NOTICE. This conversion is not endorsed by NVIDIA.
+
+Choose one self-contained bundle:
+
+- `fast/`: full finite Fourier relative attention, 192 encoder positions,
+  fixed 15-second chunks, up to 128 independent chunks in the FP16 ANE decoder.
+- `quality/`: full sinusoidal relative attention, 3,776 encoder positions,
+  exact tiled convolution subsampling, fixed 300-second chunks and an FP32 CPU
+  decoder batching up to four independent chunks.
+
+Both use W8A16 encoder weights, retaining selected sensitive projections in
+FP16, and four concurrent encoder requests. Neither truncates attention within
+its chunk or drops input audio. `runtime.json` records the qualified scheduling
+policy. The two bundles trade speed for longer context; the labels describe the
+measured JFK result rather than a universal quality ranking.
+
+Requires physical Apple silicon on macOS 27 or iOS 27 and a model-specific host
+runtime. Graphs accept model features and recurrent states, not audio files.
+The host must implement the frontend, greedy TDT loop and tokenizer described
+by metadata/sidecars. Weights and recurrent states are shared across static
+functions; recurrent histories remain independent between utterances.
+Vocabulary: 1024 nonblank tokens, blank ID
+1024, durations 0/1/2/3/4 and at most ten symbols per frame.
+For the larger V3 vocabulary the batched graph returns `(partition, local)` in
+two FP16 channels; reconstruct a token as `partition * 2048 + local`.
+Global IDs above 2,048 must not be transported as a single FP16 value.
+The scalar FP32 decoder returns a global token ID.
+
+## Measured performance
+
+M3 MacBook Air (16 GB), macOS 27 build 26A428. Medians after warmup;
+frontend, encoder and decoding are included, while preparation, file I/O and
+chunk planning are excluded. The long JFK clip is 1,095.320125 seconds (18:15).
+The quality short-clip test intentionally uses the unmodified five-minute shape.
+
+| Bundle | Audio duration | Transcription | Audio / elapsed |
+| --- | ---: | ---: | ---: |
+| fast | 20.000 s | 0.150 s | 133.4× |
+| fast | 1095.320 s | 1.876 s | 584.0× |
+| quality | 20.000 s | 1.336 s | 15.0× |
+| quality | 1095.320 s | 7.044 s | 155.5× |
+
+Whisper-normalized WER against the supplied long-recording reference:
+
+| Bundle | Word errors | WER |
+| --- | ---: | ---: |
+| fast | 79/2220 | 3.56% |
+| quality | 44/2220 | 1.98% |
+
+This is one English recording, not a general or multilingual accuracy evaluation.
+Native quantization and FP16 decoder operation order can change token decisions.
+The reported full-recording runs retain all audio, with 74 fast chunks or four
+quality chunks. These are distinct contexts and execution policies, not a
+controlled kernel-only comparison.
+
+Source `.aimodel` files specialize on the device. First-use preparation can
+take several minutes; it is not included in the table. AoT compiled artifacts
+are omitted because no significant load-time benefit has been demonstrated.
+Authoring debug locations were removed while preserving graph signatures and
+operation counts. `SHA256.json` lists distributed payload checksums.

SHA256.json

@@ -0,0 +1,207 @@
+[
+  {
+    "path": "LICENSE",
+    "bytes": 18657,
+    "sha256": "9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411"
+  },
+  {
+    "path": "NOTICE",
+    "bytes": 484,
+    "sha256": "ad44b1b95d515b2549c4f168f4c6eefbab68d2ecf8a888baa2b3afabded34e8a"
+  },
+  {
+    "path": "README.md",
+    "bytes": 3531,
+    "sha256": "d328e50a52bbbac7430e9cba2fd63c257a24fdf9c53af559e387b4c8cdf386c7"
+  },
+  {
+    "path": "fast/LICENSE",
+    "bytes": 18657,
+    "sha256": "9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411"
+  },
+  {
+    "path": "fast/NOTICE",
+    "bytes": 484,
+    "sha256": "ad44b1b95d515b2549c4f168f4c6eefbab68d2ecf8a888baa2b3afabded34e8a"
+  },
+  {
+    "path": "fast/SHA256.json",
+    "bytes": 3085,
+    "sha256": "eac12449175661d7bca02f16810fed64e422419fb547f502e8008564a53710db"
+  },
+  {
+    "path": "fast/decoder.aimodel/main.hash",
+    "bytes": 32,
+    "sha256": "aafd3d50d7642c864dd2d3b89112f1d30fee1e4e9a220d9c4ff6753d8828e3ff"
+  },
+  {
+    "path": "fast/decoder.aimodel/main.mlirb",
+    "bytes": 23966811,
+    "sha256": "33f37e4f871cd0d57e739767c6bc9d6732ec11ddb8521cb035897724ab826376"
+  },
+  {
+    "path": "fast/decoder.aimodel/metadata.json",
+    "bytes": 105,
+    "sha256": "59a8446d35a7c53ff682b9a1ce039bb17bfae7c8ed841285e77895378cbc84d8"
+  },
+  {
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+    "bytes": 34448920,
+    "sha256": "2e8f17ed0d5c0dbcc38e7d80cccfb5d7a0566c6298ec604bc4d084bd3c9e7446"
+  },
+  {
+    "path": "fast/decoder.json",
+    "bytes": 921,
+    "sha256": "ba4c8d22191ce5e6b4cc8c1898491f7a41deb5b7096d5c219b1bfcfd3e0d0d76"
+  },
+  {
+    "path": "fast/decoder_batch.aimodel/main.hash",
+    "bytes": 32,
+    "sha256": "ed9ef7d21ed941f9232f4dc15700ebeaffefd5be795403fb28546f7e4a82b511"
+  },
+  {
+    "path": "fast/decoder_batch.aimodel/main.mlirb",
+    "bytes": 12007469,
+    "sha256": "45b177f30cb872eb30762227dbaa316e40b937f3b00d9a23f147f3083dee43ae"
+  },
+  {
+    "path": "fast/decoder_batch.aimodel/metadata.json",
+    "bytes": 105,
+    "sha256": "75a4055784bd60e6dee23d4104a4bd16036899d1bf77ba1805aeccccee32fdee"
+  },
+  {
+    "path": "fast/encoder.aimodel/main.hash",
+    "bytes": 32,
+    "sha256": "887a674e553f8a8c07e8c7f7e64d35ea848d27ffa5e12206152d50f35c1f5b09"
+  },
+  {
+    "path": "fast/encoder.aimodel/main.mlirb",
+    "bytes": 626365581,
+    "sha256": "f3ce2cba2842b9be85a3e9c980f0073d462ea9cee6b53f7020dd09d1c549cb06"
+  },
+  {
+    "path": "fast/encoder.aimodel/metadata.json",
+    "bytes": 105,
+    "sha256": "fb9e62a28da71320791f11a9fe843eff2845d33750867463acfa628c13ba1763"
+  },
+  {
+    "path": "fast/mel-filter.f32",
+    "bytes": 131584,
+    "sha256": "621d722a4bb3d53cbece1297b7c2058a359d37b52ae6bd45d902fe4427a415d4"
+  },
+  {
+    "path": "fast/metadata.json",
+    "bytes": 490,
+    "sha256": "881bad696977d853ebe3e9c5b08ab45f7b0f434d46a96a7f069bd7deee3ba9c0"
+  },
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fast/LICENSE

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+

fast/NOTICE

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+Core AI conversion of NVIDIA nvidia/parakeet-tdt-0.6b-v2
+Upstream revision: ae9ad07059c7c739ffaf932226a8fe64ae2620b0
+License: Creative Commons Attribution 4.0 International.
+https://creativecommons.org/licenses/by/4.0/
+Changes: channels-first Core AI graphs, W8A16 encoder quantization with selected FP16 projections,
+Fourier/sinusoidal relative-position evaluation, exact tiled subsampling, batched decoder
+and removal of authoring source metadata. No NVIDIA endorsement is implied.

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+

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