coreai-fabric: moss-transcribe-diarize-decoder card + license + reports

LICENSE

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+NOTE — supplied by coreai-fabric (the redistributor), not the upstream.
+The upstream OpenMOSS-Team/MOSS-Transcribe-Diarize @ d7231bbae2587a4af278735eb765b318c4f64edd declares its license as "apache-2.0"
+in its Hugging Face model-card metadata but ships no LICENSE file. Under
+Apache-2.0 §4(a) a redistribution must give recipients a copy of the
+License, so the canonical apache-2.0 text is reproduced below
+verbatim. Copyright in the underlying work remains with the upstream
+authors (OpenMOSS-Team/MOSS-Transcribe-Diarize); see the model card for attribution.
+========================================================================
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README.md

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+---
+license: apache-2.0
+base_model: OpenMOSS-Team/MOSS-Transcribe-Diarize
+pipeline_tag: audio-text-to-text
+library_name: coreai
+language:
+- en
+- zh
+widget:
+- text: "Explain on-device AI in one sentence."
+- text: "Write a haiku about Apple Silicon."
+tags:
+- coreai
+- core-ai
+- coreai-fabric
+- aimodel
+- coreml
+- apple
+- apple-silicon
+- on-device
+- iphone
+- metal
+- audio-text-to-text
+- llm
+---
+
+> **Canonical:** [`kevinqz/MOSS-Transcribe-Diarize-Decoder-CoreAI`](https://huggingface.co/kevinqz/MOSS-Transcribe-Diarize-Decoder-CoreAI) — source of truth. 
+
+# MOSS-Transcribe-Diarize Qwen3 Decoder (fabric)
+
+**Apple Core AI chat model — runs fully on-device on Apple Silicon
+(iPhone / iPad / Mac, macOS/iOS 27+).**
+
+A quantized **stateful KV-cache chat** `.aimodel` — an Apple Core AI conversion of
+[OpenMOSS-Team/MOSS-Transcribe-Diarize](https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize), with an embedded
+tokenizer + chat template. Produced by
+[coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-decoder.yaml) and indexed by
+[coreai-catalog](https://github.com/kevinqz/coreai-catalog).
+
+## Model facts
+
+| Field | Value |
+|---|---|
+| Parameters | 0.6B |
+| Architecture | transformer |
+| Capabilities | speech-to-text, text-generation |
+| Quantization / precision | none / float32 |
+| Context length | — |
+| On-disk size | 2.2 GB |
+| Asset kind | stateful KV-cache chat bundle; embedded tokenizer + chat template |
+| assetVersion | 2.0 |
+
+
+
+## Use it
+
+Install via the catalog, then run it with Apple's Foundation Models runtime:
+
+```bash
+pip install coreai-catalog && coreai-catalog install moss-transcribe-diarize-decoder
+```
+
+```swift
+import CoreAILanguageModels
+import FoundationModels
+
+// modelURL = the installed macos/ bundle directory for this model
+let model = try await CoreAILanguageModel(resourcesAt: modelURL)
+let session = LanguageModelSession(model: model)
+let reply = try await session.respond(to: "Explain on-device AI in one sentence.")
+print(reply)
+```
+
+A complete, buildable example lives at
+[coreai-catalog/examples/llm-chat](https://github.com/kevinqz/coreai-catalog/tree/main/examples/llm-chat).
+
+## 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** the asset but **cannot run** it
+  on-device (the Swift runtime needs the 27 SDK).
+- Apple Silicon.
+
+## Intended use & limitations
+
+- **Intended use:** general on-device chat / text generation. Inherits the base
+  model's capabilities, languages, and biases.
+- **Limitations:** uncompressed (fp16) — full precision. See the Evaluation section for the measured
+  greedy fidelity vs the fp16 reference.
+
+## Evaluation (parity)
+
+- **Gate A (structure): passed** — the bundle's layout + metadata were
+  validated on real hardware (Apple Silicon); the asset loads and generates.
+- **Gate B (numeric accuracy): passed.** Task-accuracy evaluation (e.g. tinyMMLU) is pending *upstream*: Apple's `coreai.llm.eval` is a stub in coreai-models 0.1.0 that cannot score a stateful KV-cache asset. Greedy fidelity vs fp32 can be measured on-device via the parity runner. fabric never fakes a parity number.
+- **Runtime throughput (tok/s):** to be published once measured on the on-device
+  (macOS/iOS 27) Swift runtime. Not estimated — real numbers or none.
+
+## 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_decoder.py` (version not reported) |
+| Recipe | [moss-transcribe-diarize-decoder](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-decoder.yaml) (recipe_source: fabric) |
+| Precision / quantization | float32 / none |
+| Conversion date | 2026-07-10 |
+
+Machine-readable, in this repo:
+[`parity-report.json`](./parity-report.json) (gate results) ·
+[`reproduce-manifest.json`](./reproduce-manifest.json) (exact tool + stack + pinned
+revision to reproduce this conversion) · [`LICENSE`](./LICENSE) (upstream terms).
+
+## License and attribution
+
+Weights licensed **apache-2.0** — see the bundled `LICENSE`. This artifact is a **converted + quantized derivative** of the base
+model (the Apache-2.0 §4(b) change notice): weights were converted to Apple Core
+AI format and quantized to uncompressed (fp16). 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-decoder`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/moss-transcribe-diarize-decoder.yaml) · [runnable example](https://github.com/kevinqz/coreai-catalog/tree/main/examples/llm-chat)
+- **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the neutral registry that ties upstream ↔ this asset ↔ mirror together
+
+
+## The on-device Core AI ecosystem
+
+This conversion is part of a broader open ecosystem for running models on Apple's
+on-device stack — useful references if you're building here:
+
+- [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 across the community, with provenance and integration snippets.
+- [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official
+  exporters and runtimes.
+- [CoreAI Model Zoo](https://github.com/john-rocky/coreai-model-zoo) and the wider
+  [coreai-community](https://huggingface.co/coreai-community) — community
+  conversions across many model families.
+
+## 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. This is an independent community conversion.

parity-report.json

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+{
+  "recipe_id": "moss-transcribe-diarize-decoder",
+  "generated_at": "2026-07-10T03:56:49+00:00",
+  "bundle": "build/moss-transcribe-diarize-decoder/moss-transcribe-diarize-decoder.aimodel",
+  "conversion_manifest": null,
+  "gate_a": {
+    "status": "passed",
+    "checks": [
+      {
+        "name": "bundle_exists",
+        "status": "passed",
+        "detail": "build/moss-transcribe-diarize-decoder/moss-transcribe-diarize-decoder.aimodel"
+      },
+      {
+        "name": "bundle_files_present",
+        "status": "passed",
+        "detail": "3 expected file(s) present"
+      },
+      {
+        "name": "metadata_json_parses",
+        "status": "passed",
+        "detail": "metadata.json parses (3 top-level keys)"
+      },
+      {
+        "name": "metadata_matches_recipe",
+        "status": "passed",
+        "detail": "1 key(s) match"
+      }
+    ]
+  },
+  "gate_b": {
+    "metric": "graph_output_cosine",
+    "threshold": 0.999,
+    "tolerance": 0.0005,
+    "value": 0.9999999999855157,
+    "status": "passed",
+    "measurement_source": "graph-output-parity-measured.json",
+    "min_cosine": 0.9999999999855157,
+    "median_cosine": 0.9999999999928846,
+    "mean_cosine": 0.9999999999923304,
+    "cosine_ci95": [
+      0.9999999999855157,
+      0.9999999999915508
+    ],
+    "per_obs_cosine": [
+      0.9999999999888292,
+      0.9999999999931365,
+      0.9999999999967749,
+      0.9999999999915508,
+      0.9999999999855157,
+      0.9999999999926326,
+      0.9999999999959467,
+      0.9999999999942565
+    ],
+    "n_obs": 8,
+    "seq_len": 64,
+    "vocab_size": 151936,
+    "reference_dtype": "float32",
+    "runner": "coreai-fabric-parity-runner/0.1.0",
+    "environment": {
+      "platform": "darwin-arm64",
+      "accelerator": "apple_silicon",
+      "runtime_version": "1.0.0b2",
+      "coreai_torch": "0.4.1",
+      "torch": "2.9.0",
+      "transformers": "4.57.6"
+    },
+    "reference": "Torch MOSS Qwen3 decoder logits [1,S,151936] vs the Core AI .aimodel over identical seeded inputs_embeds [1,S,1024]; single causal prefill forward."
+  },
+  "overall": "passed"
+}