---
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.