nvidia/Nemotron-3-Embed-8B-BF16
sentence-similarity model by nvidia
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Model card & documentation
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NVIDIA Nemotron 3 Embed Nemotron-3-Embed-8B-BF16 is a versatile text embedding model trained by NVIDIA and optimized for retrieval and semantic similarity tasks. It provides strong multilingual and cross-lingual retrieval capabilities and is designed to serve as a foundational component in text-based Retrieval-Augmented Generation (RAG) systems. This model was evaluated across 34 languages: English, Arabic, Assamese, Bengali, Bulgarian, Chinese, Danish, Dutch, Finnish, French, German, Hindi, Hinglish, Indonesian, Italian, Japanese, Korean, Malay, Marathi, Nepali, Norwegian, Persian, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Ukrainian, Urdu, Vietnamese. The model generates dense vector embeddings from multilingual text inputs, enabling retrieval, semantic search, and (agentic) RAG workflows. As a core component of text retrieval systems, an embedding model transforms text, such as questions or passages, into dense vector representations. These models are typically transformer encoders that process input tokens and produce embeddings suitable for efficient similarity matching. Nemotron-3-Embed-8B-BF16 achieves state-of-the-art performance…
Read the full model card ↗ · Preview checked 2026-10-29T03:09:43.274Z
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- Usage
- Local Python Dependencies
- Sentence Transformers
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- OpenMDW License Agreement, version 1.1 (OpenMDW-1.1)
- Apache License, Version 2.0
- PyTorch local installation selector
- https://huggingface.co/datasets/miracl/miracl
- https://huggingface.co/datasets/Shitao/MLDR
- https://huggingface.co/datasets/sentence-transformers/embedding-training-data
- https://huggingface.co/datasets/next-tat/TAT-QA
- https://huggingface.co/datasets/qiaojin/PubMedQA/viewer/pqalabeled
- https://huggingface.co/datasets/SkelterLabsInc/JaQuAD
- https://huggingface.co/datasets/CoIR-Retrieval/apps
- https://huggingface.co/datasets/CoIR-Retrieval/cosqa
- https://huggingface.co/datasets/CoIR-Retrieval/stackoverflow-qa
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
nvidia/Nemotron-3-Embed-8B-BF16 is a sentence-similarity 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
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 142,101
- Cumulative likes
- 113
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 7,952,683,008
- Architecture
- Ministral3Model
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-07-14T07:38:49.000Z
- Last modified
- 2026-08-28T15:59:43.000Z
Compatibility and lineage
Reported languages: multilingual, en, ar, as, bn, bg, zh, da, nl, fi, fr, de, hi, id, it, ja, ko, ms, mr, ne, no, fa, pt, ro, ru, es, sw, sv, ta, te, th, uk, ur, vi
Reported base models: mistralai/Ministral-3-8B-Instruct-2512
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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