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Nvidia releases updated Nemotron-3.5 models for embedding, parsing, and reranking

By PulseAugur Editorial · [1 sources] ·

Nvidia has released updated versions of its Nemotron-3.5 models, including Parse, Embed, and Rerank variants. These models are available in different sizes, such as 1B and 8B parameters for the Embed models and 8B for the Rerank model. The release prompts community discussion on whether users have begun testing these new iterations. AI

IMPACT Provides updated tools for developers working with embeddings, parsing, and reranking in AI applications.

RANK_REASON Release of new model versions by a major AI developer. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Nvidia releases updated Nemotron-3.5 models for embedding, parsing, and reranking

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Release of new model versions by a major AI developer. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ChexterWang ·

    Nemotron-3.5-Embed, Parse, and Rerank

    <!-- SC_OFF --><div class="md"><p>So they have updated the embed and rerank model from 3.0 to 3.5:</p> <p><a href="https://huggingface.co/nvidia/Nemotron-3.5-Parse">https://huggingface.co/nvidia/Nemotron-3.5-Parse</a></p> <p><a href="https://huggingface.co/nvidia/Nemotron-3.5-Emb…

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