coreai-fabric: qwen3-0.6b-int8 card + license + reports

LICENSE

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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B
+base_model_relation: quantized
+pipeline_tag: text-generation
+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
+- text-generation
+- llm
+- int8
+---
+
+> **Canonical:** [`kevinqz/Qwen3-0.6B-CoreAI`](https://huggingface.co/kevinqz/Qwen3-0.6B-CoreAI) — source of truth. 
+
+# Qwen3 0.6B (fabric, int8)
+
+**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
+[Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B), with an embedded
+tokenizer + chat template. Produced by
+[coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/qwen3-0.6b-int8.yaml) and indexed by
+[coreai-catalog](https://github.com/kevinqz/coreai-catalog).
+
+## Model facts
+
+| Field | Value |
+|---|---|
+| Parameters | 0.6B |
+| Architecture | transformer |
+| Capabilities | chat, text-generation |
+| Quantization / precision | int8 / float16 |
+| Context length | 8192 |
+| On-disk size | 605 MB |
+| 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 qwen3-0.6b-int8
+```
+
+```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:** int8 quantized — the high-fidelity tier, near-lossless vs. fp16. 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 — greedy fidelity vs the fp16 reference: 100.0% margin-gated (95% CI 92.6–100.0%)** · 95.8% exact-argmax · 100.0% top-5, over 48 teacher-forced tokens, measured on-device (Apple M4 Max, macOS 26.6). Margin-gated forgives near-tie flips (where even the reference flips on rounding noise). This is *fidelity to the reference*, not a quality verdict. Reproduce with `coreai-fabric verify` + the parity runner (`parity-report.json`).
+  - Sample — prompt `The capital of France is` → asset: `Paris. The capital of France is Rome. The capital of`
+- **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 | [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) @ `c1899de289a04d12100db370d81485cdf75e47ca` |
+| Converted by | `coreai.llm.export` (version not reported) |
+| Recipe | [qwen3-0.6b-int8](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/qwen3-0.6b-int8.yaml) (recipe_source: fabric) |
+| Precision / quantization | float16 / int8 |
+| Conversion date | 2026-07-04 |
+
+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 © 2024 Alibaba Cloud, 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 int8. The conversion itself is community work.
+
+## Links
+
+- **Base model:** [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)
+- **Reproduce:** [recipe `qwen3-0.6b-int8`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/qwen3-0.6b-int8.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.

int8/parity-report.json

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+{
+  "recipe_id": "qwen3-0.6b-int8",
+  "generated_at": "2026-07-04T02:01:39+00:00",
+  "bundle": "build/qwen3-0.6b-int8/qwen3-0.6b-int8.aimodel",
+  "conversion_manifest": null,
+  "gate_a": {
+    "status": "passed",
+    "checks": [
+      {
+        "name": "bundle_exists",
+        "status": "passed",
+        "detail": "build/qwen3-0.6b-int8/qwen3-0.6b-int8.aimodel"
+      },
+      {
+        "name": "bundle_files_present",
+        "status": "passed",
+        "detail": "3 expected file(s) present"
+      },
+      {
+        "name": "metadata_json_parses",
+        "status": "passed",
+        "detail": "metadata.json parses (6 top-level keys)"
+      },
+      {
+        "name": "metadata_matches_recipe",
+        "status": "passed",
+        "detail": "1 key(s) match"
+      }
+    ]
+  },
+  "gate_b": {
+    "metric": "greedy_parity",
+    "threshold": 0.9,
+    "tolerance": 0.05,
+    "value": 1.0,
+    "status": "passed",
+    "margin_gated_match_rate": 1.0,
+    "margin_gated_ci95": [
+      0.9259,
+      1.0
+    ],
+    "argmax_match_rate": 0.9583333333333334,
+    "top5_agreement_rate": 1.0,
+    "matched": 46,
+    "compared": 48,
+    "near_ties_excluded": 2,
+    "greedy_token_exact": false,
+    "n_prompts": 4,
+    "decode_len": 12,
+    "reference_dtype": "float16",
+    "flip_margin_nats": 0.1,
+    "sample": {
+      "prompt": "The capital of France is",
+      "reference": " Paris. The capital of Italy is Rome. The capital of",
+      "asset_argmax": " Paris. The capital of France is Rome. The capital of"
+    },
+    "runner": "coreai-fabric-parity-runner/0.1.0",
+    "environment": {
+      "os": "macOS 26.6",
+      "chip": "Apple M4 Max",
+      "machine": "arm64",
+      "runtime_version": "1.0.0b2",
+      "coreai_torch": "0.4.1",
+      "torch": "2.9.0",
+      "transformers": "4.57.6"
+    }
+  },
+  "overall": "passed"
+}