---
license: apache-2.0
base_model: feyninc/pulpie-orange-base
pipeline_tag: token-classification
library_name: coreai
language:
- en
tags:
- coreai
- core-ai
- coreai-fabric
- aimodel
- coreml
- apple
- apple-silicon
- on-device
- encoder
- token-classification
---

> **Canonical:** [`kevinqz/Pulpie-Orange-Base-CoreAI`](https://huggingface.co/kevinqz/Pulpie-Orange-Base-CoreAI) — source of truth. 

# Pulpie Orange Base (fabric)

An Apple Core AI conversion of
[feyninc/pulpie-orange-base](https://huggingface.co/feyninc/pulpie-orange-base) — a **token
classifier** (bidirectional encoder) that maps `(input_ids, attention_mask)` to
**per-token logits**. Produced by [coreai-fabric](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/pulpie-orange-base.yaml) and indexed by
[coreai-catalog](https://github.com/kevinqz/coreai-catalog).

> **Encoder, not a chat model.** This is a single-forward classifier — no text
> generation, no KV-cache. The host owns the **tokenizer** (use the upstream
> tokenizer at [feyninc/pulpie-orange-base](https://huggingface.co/feyninc/pulpie-orange-base)),
> feeds token ids, and reads the per-token argmax.

## Model facts

| Field | Value |
|---|---|
| Parameters | 0.6B |
| Architecture | transformer |
| Capabilities | token-classification |
| Labels | 2 |
| Sequence length | 64 (static) |
| Quantization / precision | none / float32 |
| On-disk size | 2.3 GB |
| Asset kind | single-graph encoder ((input_ids, attention_mask) -> per-token logits) |
| assetVersion | 2.0 |


## Use it — this needs host code you supply

The bundle is a single static-sequence graph: `(input_ids, attention_mask)` in →
per-token `logits` out. **You supply** the upstream tokenizer and the argmax /
label mapping in your host code (Swift or Python). Token ids are int32 at the
graph boundary; pad or truncate to the static sequence length (see Model facts).

```bash
pip install coreai-catalog && coreai-catalog install pulpie-orange-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 reference over 8 seeded `(input_ids, attention_mask)`, measured on apple_silicon. The encoder analog of the LLM logit-parity: it certifies the export computes the SAME per-token logits as the source — a conversion-fidelity metric, not task accuracy.
- This certifies the export is **numerically faithful to the source encoder** — it
  does **NOT** certify downstream task accuracy on your data. Reproduce with
  `coreai-fabric verify`.

## Provenance

| Field | Value |
|---|---|
| Base model | [feyninc/pulpie-orange-base](https://huggingface.co/feyninc/pulpie-orange-base) @ `d8f4eaabc8647b96034b906ab3864572e1489c10` |
| Converted by | `models/eurobert/export.py` (version not reported) |
| Recipe | [pulpie-orange-base](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/pulpie-orange-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 model: its
weights were converted to Apple Core AI format. The conversion itself is
community work.

## Links

- **Base model:** [feyninc/pulpie-orange-base](https://huggingface.co/feyninc/pulpie-orange-base)
- **Reproduce:** [recipe `pulpie-orange-base`](https://github.com/kevinqz/coreai-fabric/blob/main/recipes/pulpie-orange-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.