{
  "schema": "https://ai-atoms.com/schemas/model-v1.json",
  "type": "model",
  "id": "model/granite-embedding",
  "version": "1.0.0",
  "name": "granite-embedding",
  "description": "The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.",
  "vendor": "IBM",
  "family": "Granite",
  "task": "embedding",
  "capabilities": [
    "embedding"
  ],
  "parameter_sizes": [
    "30m",
    "278m"
  ],
  "providers": [
    {
      "name": "Ollama",
      "model_id": "granite-embedding",
      "url": "https://ollama.com/library/granite-embedding",
      "pull_command": "ollama pull granite-embedding",
      "run_command": "ollama run granite-embedding",
      "tag_count": 6,
      "pulls": "362.1K",
      "updated_at": "2024-12-18"
    }
  ],
  "links": {
    "model_card": "https://ollama.com/library/granite-embedding"
  },
  "authored_by": "IBM",
  "source_url": "https://ollama.com/library/granite-embedding",
  "category": "ai",
  "provenance": {
    "source": "ollama.com/library",
    "source_url": "https://ollama.com/library/granite-embedding",
    "license": "unknown",
    "imported_at": "2026-09-03",
    "notes": "Description, capabilities, sizes, pulls, tag count and updated date as shown on the Ollama library page. Vendor, family and task are inferred from the model name; weights license is not published on the listing."
  },
  "tags": [
    "ollama",
    "local",
    "embedding"
  ],
  "lifecycle": "stable"
}