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coreai-fabric: act-aloha-insertion card + license + reports

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  1. LICENSE +210 -0
  2. README.md +129 -0
  3. parity-report.json +65 -0
  4. reproduce-manifest.json +36 -0
LICENSE ADDED
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+ NOTE — supplied by coreai-fabric (the redistributor), not the upstream.
2
+ The upstream lerobot/act_aloha_sim_insertion_human @ 33259aa86eb45fdf85350280044a33d9d50e40c3 declares its license as "apache-2.0"
3
+ 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
5
+ License, so the canonical apache-2.0 text is reproduced below
6
+ verbatim. Copyright in the underlying work remains with the upstream
7
+ authors (lerobot/act_aloha_sim_insertion_human); see the model card for attribution.
8
+ ========================================================================
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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/act_aloha_sim_insertion_human
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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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+ ---
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+
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+ > **Canonical:** [`kevinqz/ACT-Aloha-Insertion-CoreAI`](https://huggingface.co/kevinqz/ACT-Aloha-Insertion-CoreAI) — source of truth.
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+
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+ # ACT ALOHA Insertion (fabric)
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+
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+ > ⚠️ **Robot policy — needs a matching robot to actuate.** This is
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+ > [lerobot/act_aloha_sim_insertion_human](https://huggingface.co/lerobot/act_aloha_sim_insertion_human) converted to an
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+ > Apple Core AI `.aimodel`. Its output is a **normalized action chunk** for
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+ > **aloha_bimanual_14dof_sim**. 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/act_aloha_sim_insertion_human](https://huggingface.co/lerobot/act_aloha_sim_insertion_human) — 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 (act sampler). Produced by
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+ [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/act-aloha-insertion.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 | 51.6M |
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+ | Architecture | transformer |
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+ | Capabilities | robotics |
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+ | Embodiment | aloha_bimanual_14dof_sim |
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+ | Sampling | act |
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+ | Quantization / precision | none / float16 |
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+ | On-disk size | 131 MB |
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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
63
+ 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 act-aloha-insertion
67
+ ```
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+
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+ ## Requirements
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+
71
+ - **Deployment: macOS 27.0+ / iOS 27.0+, Xcode 27+.** The asset serializes with `minimum_os v27`,
72
+ 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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+
78
+ - **Gate A (structure): passed** — the bundle's layout + metadata were
79
+ validated on real hardware; the graphs load.
80
+ - **Gate B — action_parity: 100.0% min chunk-cosine** vs the fp16 reference over 8 frames of `recorded episodes`, N-step, fixed-noise (measured on Apple M4 Max).
81
+ - This certifies the export is **numerically faithful to the source policy** — it
82
+ does **NOT** certify real-world task success, embodiment transfer, or
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+ closed-loop stability. Closed-loop success-rate eval (LIBERO/ManiSkill):
84
+ **not_run** (a separate future gate). Reproduce with `coreai-fabric verify`.
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+
86
+ ## Provenance
87
+
88
+ | Field | Value |
89
+ |---|---|
90
+ | Base model | [lerobot/act_aloha_sim_insertion_human](https://huggingface.co/lerobot/act_aloha_sim_insertion_human) @ `33259aa86eb45fdf85350280044a33d9d50e40c3` |
91
+ | Converted by | `models/act/export.py` coreai_torch 0.4.1 + coremltools 9.0 |
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+ | Recipe | [act-aloha-insertion](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/act-aloha-insertion.yaml) (recipe_source: fabric) |
93
+ | Precision / quantization | float16 / none |
94
+ | Conversion date | 2026-07-04 |
95
+
96
+ Machine-readable, in this repo:
97
+ [`parity-report.json`](./parity-report.json) (gate results) ·
98
+ [`reproduce-manifest.json`](./reproduce-manifest.json) · [`LICENSE`](./LICENSE)
99
+ (upstream terms).
100
+
101
+ ## License and attribution
102
+
103
+ Weights licensed **apache-2.0** — see the bundled `LICENSE`. This artifact is a **converted derivative** of the base policy: its
104
+ weights were converted to Apple Core AI format. The conversion itself is
105
+ community work.
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+
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+ ## Links
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+
109
+ - **Base model:** [lerobot/act_aloha_sim_insertion_human](https://huggingface.co/lerobot/act_aloha_sim_insertion_human)
110
+ - **Reproduce:** [recipe `act-aloha-insertion`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/act-aloha-insertion.yaml)
111
+ - **Index:** [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the
112
+ neutral registry tying upstream ↔ this asset ↔ mirror together
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+
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+
115
+ ## The on-device Core AI ecosystem
116
+
117
+ - [coreai-fabric](https://github.com/kevinqz/coreai-fabric) — the reproducible
118
+ recipe → `.aimodel` pipeline that produced this asset.
119
+ - [coreai-catalog](https://github.com/kevinqz/coreai-catalog) — the index of Core
120
+ AI models across the community, with provenance and integration snippets.
121
+ - [apple/coreai-models](https://github.com/apple/coreai-models) — Apple's official
122
+ exporters and runtimes.
123
+ - [LeRobot](https://huggingface.co/lerobot) — the upstream robotics ecosystem.
124
+
125
+ ## Not affiliated with Apple
126
+
127
+ 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": "act-aloha-insertion",
3
+ "generated_at": "2026-07-04T18:19:07+00:00",
4
+ "bundle": "build/act-aloha-insertion/act-aloha-insertion.aimodel",
5
+ "conversion_manifest": null,
6
+ "gate_a": {
7
+ "status": "passed",
8
+ "checks": [
9
+ {
10
+ "name": "bundle_exists",
11
+ "status": "passed",
12
+ "detail": "build/act-aloha-insertion/act-aloha-insertion.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": "skipped",
27
+ "detail": "no overlapping keys between recipe expectations and bundle metadata (nothing to compare \u2014 this is not a pass)"
28
+ }
29
+ ]
30
+ },
31
+ "gate_b": {
32
+ "metric": "action_parity",
33
+ "threshold": 0.999,
34
+ "tolerance": 0.001,
35
+ "value": 0.9999999999995184,
36
+ "status": "passed",
37
+ "measurement_source": "action-parity-measured.json",
38
+ "min_action_cosine": 0.9999999999995184,
39
+ "mean_action_cosine": 0.9999999999998355,
40
+ "cosine_ci95": [
41
+ 0.99999999999983,
42
+ 0.9999999999998405
43
+ ],
44
+ "max_per_dim_mae": 2.1241605281829835e-07,
45
+ "mean_per_dim_mae": 1.5896580407570582e-07,
46
+ "n_obs": 8,
47
+ "n_action_rows": 800,
48
+ "action_dim": 14,
49
+ "chunk_size": 100,
50
+ "sampler": "act",
51
+ "deterministic": true,
52
+ "reference": "torch predict_action_chunk (fp32 as loaded by lerobot)",
53
+ "runner": "coreai-fabric-parity-runner/0.1.0",
54
+ "environment": {
55
+ "os": "macOS 26.6",
56
+ "chip": "Apple M4 Max",
57
+ "machine": "arm64",
58
+ "runtime_version": "1.0.0b2",
59
+ "coreai_torch": "0.4.1",
60
+ "torch": "2.9.0",
61
+ "transformers": "4.57.6"
62
+ }
63
+ },
64
+ "overall": "passed"
65
+ }
reproduce-manifest.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "recipe_id": "act-aloha-insertion",
3
+ "tool": "models/act/export.py",
4
+ "tool_version": "coreai_torch 0.4.1 + coremltools 9.0",
5
+ "converter_stack": {
6
+ "coreai_torch": "0.4.1",
7
+ "coremltools": "9.0",
8
+ "coreai_core": "1.0.0b2",
9
+ "torch": "2.9.0",
10
+ "lerobot": "0.5.1"
11
+ },
12
+ "lane": "vla-two-venv",
13
+ "command": [
14
+ "export.py",
15
+ "export",
16
+ "--repo",
17
+ "lerobot/act_aloha_sim_insertion_human",
18
+ "--out",
19
+ "build/act-aloha-insertion"
20
+ ],
21
+ "reproduce": [
22
+ ".venv-lerobot/bin/python models/act/export.py export --repo lerobot/act_aloha_sim_insertion_human --out build/act-aloha-insertion",
23
+ ".venv/bin/python models/act/export.py --lower --out build/act-aloha-insertion",
24
+ ".venv-lerobot/bin/python models/act/parity.py reference --repo lerobot/act_aloha_sim_insertion_human --out build/act-aloha-insertion",
25
+ ".venv/bin/python models/act/parity.py --compare --out build/act-aloha-insertion",
26
+ "coreai-fabric verify act-aloha-insertion",
27
+ "coreai-fabric publish act-aloha-insertion"
28
+ ],
29
+ "input": {
30
+ "hf_repo": "lerobot/act_aloha_sim_insertion_human",
31
+ "revision": "33259aa86eb45fdf85350280044a33d9d50e40c3",
32
+ "revision_pinned_by_tool": true
33
+ },
34
+ "asset_minimum_os": "27",
35
+ "notes": "Two-venv VLA lane: torch.export runs in .venv-lerobot (torch 2.9 + lerobot[pi] 0.5.1); coreai_torch lowering + coreai.runtime parity run in the fabric .venv (torch 2.9 + coreai_torch 0.4.1). Both venvs pin torch 2.9 so the ExportedProgram never crosses versions. action_parity measured robot-free vs the torch predict_action_chunk reference on 8 fixed-seed observations."
36
+ }