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Granite Embedding Multilingual R2

Hugging Face | In Edition 34,

The call on this one

DEPLOYif you run multilingual retrieval on a budget

SOURCE Hugging Face, Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context

IBM released two Apache 2.0 multilingual embedding models built on ModernBERT: a 97M-parameter compact model scoring 60.3 on MTEB Multilingual Retrieval and a 311M full-size model scoring 65.2, both covering 200+ languages with 32K-token context.

Added to The Deploy Log , updated . Read Edition 34, the edition that carried it.

60 rows from Hugging Face in The Deploy Log are dated on or before this one, this one included.

Before it from Hugging Face: Nemotron 3 Nano Omni, 14 days earlier. After it: PaddleOCR 3.5, 2 days later.

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