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ENTITY Granite Embedding Multilingual R2

Granite Embedding Multilingual R2

PulseAugur coverage of Granite Embedding Multilingual R2 — every cluster mentioning Granite Embedding Multilingual R2 across labs, papers, and developer communities, ranked by signal.

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5 over 90d
Releases · 30d
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Papers · 30d
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TIER MIX · 90D
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  1. 2026-05-14 product_launch Hugging Face released two new multilingual embedding models, Granite Embedding Multilingual R2, under the Apache 2.0 license. source
SENTIMENT · 30D

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RECENT · PAGE 1/1 · 5 TOTAL
  1. COMMENTARY · CL_112905 ·

    Hugging Face spotlights community AI evaluations and new models · 6 sources tracked

    Hugging Face is highlighting various community-driven AI initiatives and models. This includes a focus on community evaluations over black-box rankings, the introduction of SyGra Studio by ServiceNow, and updates on ope…

  2. TOOL · CL_87844 ·

    IBM releases open-source multilingual embedding model Granite R2

    IBM has released Granite Embedding Multilingual R2, an open-source embedding model under the Apache Software License 2.0. This model supports multilingual capabilities and a 32K context window, aiming to achieve top-tie…

  3. TOOL · CL_58286 ·

    IBM releases open-source multilingual embedding model with 32K context

    IBM has released Granite Embedding Multilingual R2, an open-source embedding model. This model supports 32,000 tokens of context and is designed to achieve high search quality with fewer than 100 million parameters. It …

  4. RESEARCH · CL_32244 ·

    Hugging Face releases Holotron-12B and Granite Embedding Multilingual R2

    Hugging Face has announced two new open-source models: Holotron-12B, designed for high-throughput computer use agents, and Granite Embedding Multilingual R2, which offers multilingual embeddings with a 32K context windo…

  5. RESEARCH · CL_32075 ·

    Hugging Face releases open multilingual embedding models with 32K context

    Hugging Face has released Granite Embedding Multilingual R2, a suite of open-source multilingual embedding models. The release includes a 97M-parameter compact model that leads in retrieval quality among open models und…