ibm-granite
Granite-embedding-small-english-r2 is a 47M parameter dense biencoder embedding model from the Granite Embeddings collection that can be used to generate high quality text embeddings.
Running this yourself: can likely run on your own machine.
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
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Arena ELO
47M
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Context
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Apr 2026
Released
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Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
granite-embedding-small-english-r2 is now available through local Ollama runtime. 512 context window listed. 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.
View sourcegranite-embedding-small-english-r2 is now available through local Ollama runtime. 512 context window listed. 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.