MiscSubjects

@cf/google/embeddinggemma-300m

EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the…

@Cf@cf/google/embeddinggemma-300m
@cf/google/embeddinggemma-300m
EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the…
inspect — the catalog entry
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  "description": "EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the…",
  "task": {
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    "name": "Text Embeddings",
    "description": "Feature extraction models transform raw data into numerical features that can be processed while preserving the information in the original dataset. These models are ideal as part of building vector search applications or Retrieval Augmented Generation workflows with Large Language Models (LLM)."
  },
  "created_at": "2025-09-04 16:38:44.980",
  "tags": [],
  "properties": [
    {
      "property_id": "beta",
      "value": "true"
    }
  ],
  "context_length": null
}
openrouter.ai/@cf/google/embeddinggemma-300m
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
Cloudflare Workers AI
Id
@cf/google/embeddinggemma-300m
Model id
@cf/google/embeddinggemma-300m
Name
@cf/google/embeddinggemma-300m
Description
EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the…
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Price web search
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Created
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Tools
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Reasoning
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Reasoning mandatory
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Reasoning default enabled
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Vision
null
Expiration date
null
Callable
false
Task
Text Embeddings
Beta
true

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Page dataOpen JSON
page.json
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