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
8K
Max Output
-
Parameters
1B
Technical Specifications
Model TypeRerank
Context Window8,192 tokens
Max Output TokensNot available
Parameters1B
Release DateOct 16, 2025
Training CutoffNot available
Licenseother
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Llama Nemotron Rerank 1B V2
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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