nvidia/llama-embed-nemotron-8b
feature-extraction model by nvidia
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Model card & documentation
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llama-embed-nemotron-8b is a versatile text embedding model trained by NVIDIA and optimized for retrieval, reranking, semantic similarity, and classification use cases. This model has robust capabilities for multilingual and cross-lingual text retrieval. It is designed to serve as a foundational component in text-based Retrieval-Augmented Generation (RAG) systems. This model achieves state-of-the-art performance on the multilingual MTEB leaderboard as of October 21, 2025. Together with the model weights, we're releasing the full recipe behind the llama-embed-nemotron-8b: This model is for non-commercial/research use only. Governing Terms for llama-embed-nemotron-8b model: NVIDIA License Additional Information: Llama-3.1 Community License Agreement for meta-llama/Llama-3.1-8B. Acceptable Use Policy. Built with Llama. Correspondence to Yauhen Babakhin (ybabakhin@nvidia.com) and Bo Liu (boli@nvidia.com). Global The llama-embed-nemotron-8b model is intended for researchers developing applications that need to understand or retrieve information from text. It is well-suited for multilingual RAG systems in which queries and documents are textual and may be in different…
Read the full model card ↗ · Preview checked 2026-11-01T15:01:02.022Z
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- llama-embed-nemotron-8b
- Model Overview
- Description:
- License/Terms of Use
- Team
- Citation
- NVIDIA’s Retrieval Models
- Deployment Geography:
- Use Case:
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Model overview
nvidia/llama-embed-nemotron-8b is a feature-extraction model repository published by nvidia on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- sentence-transformers
- Recent downloads (30 days)
- 123,128
- Cumulative likes
- 171
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,504,924,672
- Architecture
- LlamaBidirectionalModel
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2025-10-07T17:05:15.000Z
- Last modified
- 2026-04-23T21:36:48.000Z
Compatibility and lineage
Reported languages: multilingual
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-16T06:34:54.667Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.