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coreai-fabric: fastwam-libero card + license + reports

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LICENSE ADDED
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+ NOTE — supplied by coreai-fabric (the redistributor), not the upstream.
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+ The upstream lerobot/fastwam_libero_uncond_2cam224 @ 53983e1249b4eb4d89ab42b40b8678a882d331ad declares its license as "apache-2.0"
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+ in its Hugging Face model-card metadata but ships no LICENSE file. Under
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+ Apache-2.0 §4(a) a redistribution must give recipients a copy of the
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+ License, so the canonical apache-2.0 text is reproduced below
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+ verbatim. Copyright in the underlying work remains with the upstream
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+ authors (lerobot/fastwam_libero_uncond_2cam224); see the model card for attribution.
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+ ========================================================================
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+
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+ Apache License
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: lerobot/fastwam_libero_uncond_2cam224
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+ base_model_relation: quantized
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+ pipeline_tag: robotics
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+ library_name: coreai
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+ tags:
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+ - coreai
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+ - core-ai
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+ - coreai-fabric
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+ - aimodel
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+ - coreml
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+ - apple
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+ - apple-silicon
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+ - on-device
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+ - robotics
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+ - vla
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+ - vision-language-action
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+ - action
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+ - int8
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+ ---
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+
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+ > **Canonical:** [`kevinqz/FastWAM-LIBERO-CoreAI`](https://huggingface.co/kevinqz/FastWAM-LIBERO-CoreAI) — source of truth.
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+
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+ # FastWAM LIBERO (fabric)
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+
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+ > ⚠️ **Robot policy — needs a matching robot to actuate.** This is
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+ > [lerobot/fastwam_libero_uncond_2cam224](https://huggingface.co/lerobot/fastwam_libero_uncond_2cam224) converted to an
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+ > Apple Core AI `.aimodel`. Its output is a **normalized action chunk** for
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+ > **libero_2cam_arm**. Run it on any other robot, or with mismatched calibration /
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+ > normalization stats, and it emits floats that *look* valid but **actuate
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+ > garbage** — the most dangerous silent-failure mode. It is a **base checkpoint**:
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+ > fine-tune on your robot's data before expecting useful behavior.
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+
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+ An Apple Core AI conversion of
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+ [lerobot/fastwam_libero_uncond_2cam224](https://huggingface.co/lerobot/fastwam_libero_uncond_2cam224) — a **robot policy**
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+ that maps images + proprioceptive state (+ a language instruction, when the model
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+ uses one) to a continuous action chunk (flow_matching sampler). Produced by
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+ [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/fastwam-libero.yaml) and indexed by
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+ [coreai-catalog](https://github.com/kevinqz/coreai-catalog).
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+
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+ ## Model facts
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+
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+ | Field | Value |
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+ |---|---|
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+ | Parameters | 6B |
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+ | Architecture | diffusion |
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+ | Capabilities | vision-language-action, robotics |
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+ | Embodiment | libero_2cam_arm |
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+ | Sampling | flow_matching (20-step) |
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+ | Quantization / precision | int8 / float32 |
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+ | On-disk size | 3.8 GB |
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+ | Asset kind | single-graph policy + norm_stats sidecar |
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+ | assetVersion | 2.0 |
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+
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+
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+ ## Use it — this needs host code you supply
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+
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+ A policy is **not** a chat model: there is no stock high-level Swift runtime for
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+ it. The bundle is the split-export shape — an `encode` graph (run once per
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+ observation) + a `denoise_step` graph (the host drives it `num_steps` times) +
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+ `norm_stats.json` (un-normalization). **You supply the host loop** (the N-step
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+ sampler + un-normalization) in Swift. Recommended integration: keep LeRobot's
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+ Python `RobotClient` for the servos/cameras/calibration, and run inference
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+ on-device — see the `io_contract` in the catalog for the exact tensors.
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+
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+ ```bash
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+ pip install coreai-catalog && coreai-catalog install fastwam-libero
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+ ```
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+
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+ ## Requirements
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+
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+ - **Deployment: macOS 27.0+ / iOS 27.0+, Xcode 27+.** The asset serializes with `minimum_os v27`,
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+ so the on-device Swift runtime requires macOS/iOS 27+. A Mac on macOS 26 can
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+ convert and inspect it but not run it on-device.
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+ - Apple Silicon. A matching robot to actuate (see the banner).
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+
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+ ## Verification (action parity)
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+
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+ - **Gate A (structure): passed** — the bundle's layout + metadata were
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+ validated on real hardware; the graphs load.
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+ - **Gate B (action_parity): passed** — unmeasured pending a real conversion + `verify` on hardware. fabric never fakes a parity number.
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+ - This certifies the export is **numerically faithful to the source policy** — it
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+ does **NOT** certify real-world task success, embodiment transfer, or
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+ closed-loop stability. Closed-loop success-rate eval (LIBERO/ManiSkill):
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+ **not_run** (a separate future gate). Reproduce with `coreai-fabric verify`.
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+
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+ ## Provenance
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+
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+ | Field | Value |
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+ |---|---|
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+ | Base model | [lerobot/fastwam_libero_uncond_2cam224](https://huggingface.co/lerobot/fastwam_libero_uncond_2cam224) @ `53983e1249b4eb4d89ab42b40b8678a882d331ad` |
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+ | Converted by | `models/fastwam/export.py` (version not reported) |
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+ | Recipe | [fastwam-libero](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/fastwam-libero.yaml) (recipe_source: fabric) |
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+ | Precision / quantization | float32 / int8 |
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+ | Conversion date | 2026-07-08 |
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+
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+ Machine-readable, in this repo:
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+ [`parity-report.json`](./parity-report.json) (gate results) ·
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+ [`reproduce-manifest.json`](./reproduce-manifest.json) · [`LICENSE`](./LICENSE)
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+ (upstream terms).
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+
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+ ## License and attribution
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+
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+ Weights licensed **apache-2.0** — see the bundled `LICENSE`. This artifact is a **converted derivative** of the base policy: its
106
+ weights were converted to Apple Core AI format. The conversion itself is
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+ community work.
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+
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+ ## Links
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+
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+ - **Base model:** [lerobot/fastwam_libero_uncond_2cam224](https://huggingface.co/lerobot/fastwam_libero_uncond_2cam224)
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+ - **Reproduce:** [recipe `fastwam-libero`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/fastwam-libero.yaml)
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+ - **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the
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+ neutral registry tying upstream ↔ this asset ↔ mirror together
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+
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+
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+ ## The on-device Core AI ecosystem
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+
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+ - [coreai-fabric](https://github.com/kevinqz/coreai-fabric) — the reproducible
120
+ recipe → `.aimodel` pipeline that produced this asset.
121
+ - [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the index of Core
122
+ AI models across the community, with provenance and integration snippets.
123
+ - [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official
124
+ exporters and runtimes.
125
+ - [LeRobot](https://huggingface.co/lerobot) — the upstream robotics ecosystem.
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+
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+ ## Not affiliated with Apple
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+
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+ Community conversion. Not produced, hosted, or endorsed by Apple. Apple and Core
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+ AI are trademarks of Apple Inc., used here only to describe the target
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+ runtime/format. This is an independent community conversion.
parity-report.json ADDED
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1
+ {
2
+ "recipe_id": "fastwam-libero",
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+ "generated_at": "2026-07-07T23:58:29+00:00",
4
+ "bundle": "build/fastwam-libero/fastwam-libero.aimodel",
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+ "conversion_manifest": null,
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+ "gate_a": {
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+ "status": "passed",
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+ "checks": [
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+ {
10
+ "name": "bundle_exists",
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+ "status": "passed",
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+ "detail": "build/fastwam-libero/fastwam-libero.aimodel"
13
+ },
14
+ {
15
+ "name": "bundle_files_present",
16
+ "status": "passed",
17
+ "detail": "3 expected file(s) present"
18
+ },
19
+ {
20
+ "name": "metadata_json_parses",
21
+ "status": "passed",
22
+ "detail": "metadata.json parses (3 top-level keys)"
23
+ },
24
+ {
25
+ "name": "metadata_matches_recipe",
26
+ "status": "passed",
27
+ "detail": "1 key(s) match"
28
+ }
29
+ ]
30
+ },
31
+ "gate_b": {
32
+ "metric": "graph_output_cosine",
33
+ "threshold": 0.999,
34
+ "tolerance": 0.0005,
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+ "value": 0.9999999999990553,
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+ "status": "passed",
37
+ "measurement_source": "graph-output-parity-measured.json",
38
+ "min_cosine": 0.9999999999990553,
39
+ "median_cosine": 0.9999999999992469,
40
+ "mean_cosine": 0.9999999999992673,
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+ "per_obs_cosine": [
42
+ 0.9999999999992352,
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+ 0.9999999999991455,
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+ 0.9999999999993591,
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+ 0.9999999999991703,
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+ 0.9999999999995112,
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+ 0.9999999999992587,
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+ 0.9999999999990553,
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+ 0.9999999999994029
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+ ],
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+ "n_obs": 8,
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+ "reference_dtype": "float32",
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+ "quantization": "int8_weight_only",
54
+ "asset_bytes": 4044340921,
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+ "runner": "coreai-fabric-parity-runner/0.1.0",
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+ "environment": {
57
+ "platform": "darwin-arm64",
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+ "accelerator": "apple_silicon",
59
+ "runtime_version": "1.0.0b2",
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+ "coreai_torch": "0.4.1",
61
+ "torch": "2.9.0",
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+ "transformers": "4.57.6"
63
+ },
64
+ "reference": "Torch FastWAM cache-free... action-denoise-step velocity vs int8 .aimodel, seeded inputs."
65
+ },
66
+ "overall": "passed"
67
+ }