Llama Nemotron Rerank 1B V2
NVIDIA's Llama Nemotron Rerank 1B V 2 is a reranking model optimized for multilingual, cross-lingual text question-answering retrieval, capable of handling long documents up to 8192 tokens. It is genuinely best at providing a logit score representing the relevance of a document to a given query, making it a valuable component in text retrieval systems.
Input
Output
Context
131K
Max Output
-
Parameters
1.2B
Technical Specifications
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Estimated GPU Requirements for Llama Nemotron Rerank 1B V2
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
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Data sourced from official provider APIs and documentation
Last updated: Aug 28, 2026
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