Llama Nemotron Embed 1B V2
NVIDIA's Llama Nemotron Embed 1B V 2 is an open-source embedding model optimized for multilingual and cross-lingual text question-answering retrieval, capable of handling long documents up to 8192 tokens with dynamic embedding size. It is genuinely best at transforming textual information into dense vector representations, making it a crucial component of a text retrieval system.
Input
Output
Context
131K
Max Output
-
Parameters
1.2B
Technical Specifications
Model TypeEmbedding
Context Window131,072 tokens
Max Output TokensNot available
Parameters1.2B
Release DateOct 16, 2025
Training CutoffNot available
Licenseother
Open SourceYes
Input Modalities
Image
Output Modalities
Embedding
Capabilities
Resources & Links
Estimated GPU Requirements for Llama Nemotron Embed 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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