| --- |
| license: apache-2.0 |
| base_model: robbyant/lingbot-vision-vit-base |
| pipeline_tag: image-feature-extraction |
| library_name: coreai |
| tags: |
| - coreai |
| - core-ai |
| - coreai-fabric |
| - aimodel |
| - coreml |
| - apple |
| - apple-silicon |
| - on-device |
| - vision |
| - image-feature-extraction |
| - vit |
| --- |
| |
| > **Canonical:** [`kevinqz/LingBot-Vision-ViT-Base-CoreAI`](https://huggingface.co/kevinqz/LingBot-Vision-ViT-Base-CoreAI) — source of truth. |
|
|
| # LingBot-Vision ViT-B (fabric) |
|
|
| An Apple Core AI conversion of |
| [robbyant/lingbot-vision-vit-base](https://huggingface.co/robbyant/lingbot-vision-vit-base) — a **vision |
| encoder** (ViT backbone) that maps an image to **normalized per-patch feature |
| tokens**, for dense downstream tasks (depth, segmentation, spatial perception). |
| Produced by [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/lingbot-vision-vit-base.yaml) and indexed by |
| [coreai-catalog](https://github.com/kevinqz/coreai-catalog). |
|
|
| > **Feature backbone, not an end task.** This is a frozen encoder: it emits |
| > per-patch feature tokens, not depths / masks / labels. The host owns image |
| > preprocessing (resize to the static size, ImageNet mean/std) and any |
| > downstream head. Use the upstream repo for the preprocessing + task heads. |
|
|
| ## Model facts |
|
|
| | Field | Value | |
| |---|---| |
| | Parameters | 86M | |
| | Architecture | transformer | |
| | Capabilities | image-feature-extraction | |
| | Image size | 512px (static) | |
| | Patch size | 16 | |
| | Embed dim | 768 | |
| | Patch tokens | 1024 | |
| | Quantization / precision | none / float32 | |
| | On-disk size | 327 MB | |
| | Asset kind | single-graph ViT encoder (image -> per-patch tokens) | |
| | assetVersion | 2.0 | |
|
|
|
|
| ## Use it — this needs host code you supply |
|
|
| The bundle is a single static-size graph: `image [1,3,S,S]` in → normalized |
| `patch_tokens [1, (S/16)^2, embed_dim]` out. **You supply** the image |
| preprocessing (resize to S, ImageNet normalize) and any downstream head in your |
| host code (Swift or Python). |
|
|
| ```bash |
| pip install coreai-catalog && coreai-catalog install lingbot-vision-vit-base |
| ``` |
|
|
| ## 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 backbone over 8 seeded images, measured on apple_silicon. Certifies the export computes the SAME per-patch tokens as the source backbone — a conversion-fidelity metric, not task accuracy. |
| - This certifies the export is **numerically faithful to the source backbone** — it |
| does **NOT** certify downstream task accuracy. Reproduce with `coreai-fabric verify`. |
| |
| ## Provenance |
| |
| | Field | Value | |
| |---|---| |
| | Base model | [robbyant/lingbot-vision-vit-base](https://huggingface.co/robbyant/lingbot-vision-vit-base) @ `f606f8c6c4002234ea68038f4d7c7cf57da96dfa` | |
| | Converted by | `models/lingbot/export.py` (version not reported) | |
| | Recipe | [lingbot-vision-vit-base](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/lingbot-vision-vit-base.yaml) (recipe_source: fabric) | |
| | Precision / quantization | float32 / none | |
| | Conversion date | 2026-07-07 | |
|
|
| 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 backbone: its |
| weights were converted to Apple Core AI format. The conversion itself is |
| community work. |
|
|
| ## Links |
|
|
| - **Base model:** [robbyant/lingbot-vision-vit-base](https://huggingface.co/robbyant/lingbot-vision-vit-base) |
| - **Reproduce:** [recipe `lingbot-vision-vit-base`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/lingbot-vision-vit-base.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. |
|
|
