| --- |
| license: cc-by-nc-4.0 |
| library_name: coreml |
| tags: |
| - coreml |
| - embeddings |
| - feature-extraction |
| - jina-embeddings-v5 |
| - apple-silicon |
| - ane |
| --- |
| |
| # jina-code-embeddings-0.5b — Core ML bundle |
|
|
| On-device Core ML conversion of **[jinaai/jina-code-embeddings-0.5b](https://huggingface.co/jinaai/jina-code-embeddings-0.5b)**, |
| produced by the [Glossematics](https://huggingface.co/1of2) conversion pipeline. The repository |
| root is a valid **model bundle** (`manifest.json`, formatVersion 2) consumed directly by the |
| Glossematics Swift package — download the snapshot and point `GlossModelBundle` at it. |
|
|
| - Embedding dimension: **896** (Matryoshka: [64, 128, 256, 512, 896]) |
| - Towers: text |
| - Text buckets: [32, 64, 128, 256, 512] + batch-4 functions at [32, 64, 128] |
| - Bidirectional text tower with explicit attention mask: False |
|
|
| ## Usage (Swift, macOS 15 / iOS 18) |
|
|
| ```swift |
| import Glossematics |
| |
| let bundle = try await GlossModelBundle(hub: "1of2/jina-code-embeddings-0.5b-coreml") |
| let gloss = GlossOmniEmbedder(bundle: bundle) |
| let q = try await gloss.embed(text: "What is the capital of France?", prompt: .query) |
| ``` |
|
|
| ## License |
|
|
| The source model weights are **CC-BY-NC-4.0** (© Jina AI) and this converted artifact is a |
| derivative work distributed under the same license: **non-commercial use only**, with |
| attribution. Commercial use requires a license from Jina AI. See the |
| [source model card](https://huggingface.co/jinaai/jina-code-embeddings-0.5b) for details. |
|
|
| ## Provenance & validation |
|
|
| - Source: `jinaai/jina-code-embeddings-0.5b` revision `4db235132dafbe56a8b9c5f59b59795ecf58a4a7` |
| - Converter: `jina_convert` 0.2.0 (commit 01a393b) |
| - Validated against fp32 references captured from the source model (per-modality cosine parity |
| gates; end-to-end through the public Swift API via `gloss-bundle-smoke`). |
|
|
