| --- |
| license: apache-2.0 |
| base_model: OpenMOSS-Team/MOSS-Transcribe-Diarize |
| pipeline_tag: automatic-speech-recognition |
| library_name: coreai |
| language: |
| - en |
| - zh |
| tags: |
| - coreai |
| - core-ai |
| - coreai-fabric |
| - aimodel |
| - coreml |
| - apple |
| - apple-silicon |
| - on-device |
| - asr |
| - automatic-speech-recognition |
| - speech |
| - encoder |
| - diarization |
| --- |
| |
| > **Canonical:** [`kevinqz/MOSS-Transcribe-Diarize-Audio-CoreAI`](https://huggingface.co/kevinqz/MOSS-Transcribe-Diarize-Audio-CoreAI) — source of truth. |
|
|
| # MOSS-Transcribe-Diarize Audio Encoder (fabric) |
|
|
| An Apple Core AI conversion of |
| [OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) — the **audio |
| encoder** of an automatic-speech-recognition + diarization model, mapping a |
| log-mel spectrogram to **encoder hidden states**. Produced by |
| [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-audio.yaml) and indexed by |
| [coreai-catalog](https://github.com/kevinqz/coreai-catalog). |
|
|
| > **Encoder only — not the full ASR pipeline.** This asset is ONLY the audio encoder (log-mel → encoder hidden states). The **host owns** mel-spectrogram extraction (upstream feature config), the autoregressive decoder (published separately), and any speaker-diarization post-processing. It does not, by itself, transcribe audio. |
|
|
| ## Model facts |
|
|
| | Field | Value | |
| |---|---| |
| | Parameters | 0.9B | |
| | Architecture | transformer | |
| | Capabilities | speech-to-text | |
| | Input (log-mel) | 1×80×3000 | |
| | Output (encoder states) | 1×375×1024 | |
| | Quantization / precision | none / float32 | |
| | On-disk size | 1.2 GB | |
| | Asset kind | single-graph audio encoder (log-mel -> encoder hidden states) | |
| | assetVersion | 2.0 | |
|
|
|
|
| ## Use it — this needs host code you supply |
|
|
| The bundle is a single static-size graph: a log-mel spectrogram (1×80×3000) in → encoder hidden states (1×375×1024) out. **You supply** the mel front-end, the decoder loop, and diarization in your host code (Swift or Python), using the upstream feature/tokenizer config. |
|
|
| ```bash |
| pip install coreai-catalog && coreai-catalog install moss-transcribe-diarize-audio |
| ``` |
|
|
| ## Requirements |
|
|
| - **Deployment: macOS 27.0+ / iOS 27.0+, Xcode 27+.** The asset serializes with `minimum_os v27`, |
| so the on-device Swift runtime requires macOS/iOS 27+. A Mac on macOS 26 can |
| convert and inspect it but not run it on-device. |
| - Apple Silicon. |
|
|
| ## Verification (output parity) |
|
|
| - **Gate A (structure): passed** — the bundle's layout + metadata were |
| validated; the graph loads. |
| - **Gate B — graph_output_cosine: 1.000000 min output cosine** (median 1.000000) vs the fp32 torch audio encoder over 8 seeded log-mel spectrograms, measured on apple_silicon. Certifies the export computes the SAME output as the source — a conversion-fidelity metric, not task accuracy. |
| - This certifies the export is **numerically faithful to the source encoder** — it |
| does **NOT** certify word-error-rate or diarization accuracy on your audio. |
| Reproduce with `coreai-fabric verify`. |
| |
| ## Provenance |
| |
| | Field | Value | |
| |---|---| |
| | Base model | [OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) @ `d7231bbae2587a4af278735eb765b318c4f64edd` | |
| | Converted by | `models/moss_transcribe/export.py` (version not reported) | |
| | Recipe | [moss-transcribe-diarize-audio](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-audio.yaml) (recipe_source: fabric) | |
| | Precision / quantization | float32 / none | |
| | Conversion date | 2026-07-10 | |
| |
| Machine-readable, in this repo: |
| [`parity-report.json`](./parity-report.json) · |
| [`reproduce-manifest.json`](./reproduce-manifest.json) · [`LICENSE`](./LICENSE). |
| |
| ## License and attribution |
| |
| Weights licensed **apache-2.0** — see the bundled `LICENSE`. This artifact is a **converted derivative** of the base model: its |
| weights were converted to Apple Core AI format. The conversion itself is |
| community work. |
| |
| ## Links |
| |
| - **Base model:** [OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize) |
| - **Reproduce:** [recipe `moss-transcribe-diarize-audio`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-audio.yaml) |
| - **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog) |
| - [HF Collection](https://huggingface.co/collections/kevinqz/coreai-apple-on-device-6a4879f21c7e1a87c99bcf5a) |
| |
| |
| ## The on-device Core AI ecosystem |
| |
| - [coreai-fabric](https://github.com/kevinqz/coreai-fabric) — the reproducible |
| recipe → `.aimodel` pipeline that produced this asset. |
| - [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the index of Core |
| AI models with provenance and integration snippets. |
| - [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official |
| exporters and runtimes. |
| |
| ## Not affiliated with Apple |
| |
| Community conversion. Not produced, hosted, or endorsed by Apple. Apple and Core |
| AI are trademarks of Apple Inc., used here only to describe the target |
| runtime/format. |
| |
