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The IBM Granite Embedding 30M and 278M models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases. These models are designed to produce fixed length vector representations for a given text chunk, which can be used for text similarity, retrieval, and search applications.
30M:
ollama run granite-embedding:30m
278M:
ollama run granite-embedding:278m
30M: English 278M: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, Chinese (Simplified)
The Granite dense models are available in 2B and 8B parameter sizes designed to support tool-based use cases and for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.
The Granite mixture of experts models are available in 1B and 3B parameter sizes designed for low latency usage.