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EmbeddingGemma 300M for Aether-Kit (Core AI)

google/embeddinggemma-300m at revision 57c266a7, exported by Aether-Kit's Forge exporter (Forge/embeddinggemma/) as one static Core AI graph: input_ids and attention_mask (int32, 256 tokens, right-padded with 0) to an L2-normalized 768-dimensional embedding. Mean pooling, the two dense projections and the normalization are in the graph; it computes in float32 (EmbeddingGemma does not support float16 activations) from float16-stored weights. Prefix queries with task: search result | query: and documents with title: none | text: . Load it with Aether-Kit's AetherEmbeddings (text-embedder@1, macOS); the manifest is .aether/aether.json. Gated against the upstream implementation on CPU in float32 (see export-report.json).

Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms (LICENSE). Use is restricted by the Gemma Prohibited Use Policy (GEMMA-PROHIBITED-USE-POLICY.txt). A modified version, not an official Google release (see NOTICE).

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