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
8K
Max Output
-
Parameters
1.2B
Technical Specifications
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Resources & Links
Estimated GPU Requirements for Llama Nemotron Embed 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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