license: gemma
base_model: google/embeddinggemma-300m
pipeline_tag: sentence-similarity
tags:
- aether-kit
- core-ai
- text-embeddings
- embeddinggemma
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).