EmbeddingGemmaEncoder.mlpackage — CoreML export of EmbeddingGemma 300m (QAT-Q4_0)

Google's EmbeddingGemma 300m (QAT q4_0 weights) exported to a Core ML package producing 768-dimensional sentence embeddings on-device (Apple Neural Engine / GPU / CPU).

Consumed by ES-Archive as its universal summary embedder, with the model card's prompt conventions: queries as task: search result | query: …, documents as title: <title|none> | text: ….

Download

hf download apocryphx/embeddinggemma-300m-qat-q4_0-coreml --local-dir .

Yields EmbeddingGemmaEncoder.mlpackage, loadable with MLModel directly or compilable to .mlmodelc.

License

Gemma is provided under and subject to the Gemma Terms of Use. By downloading this model you agree to those terms, including the Gemma Prohibited Use Policy. This repository redistributes a quantized Model Derivative of google/embeddinggemma-300m; the same terms and use restrictions apply to it and to any further derivatives.