---
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.