Granite Embedding 311M Multilingual R2

Name: Granite Embedding 311M Multilingual R2
Author: Ibm

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Context window33K tokens

Version History

r2majorApril 29, 2026

R2 upgrades architecture from XLM-RoBERTa to ModernBERT, extends context from 512 to 32,768 tokens, expands vocabulary to 262K tokens, and adds Matryoshka dimension reduction support. Performance improves by 11.8 points on MTEB Retrieval.

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model releaseIbm

IBM Releases Granite Embedding 311M R2 With 32K Context, 200+ Language Support

IBM released Granite Embedding 311M Multilingual R2, a 311-million parameter dense embedding model with 32,768-token context length and support for 200+ languages. The model scores 64.0 on Multilingual MTEB Retrieval (18 tasks), an 11.8-point improvement over its predecessor, and ships with ONNX and OpenVINO models for production deployment.

May 6, 2026 · 8:21 AM2 min read

IBM embeddings multilingual