NVIDIA
Explore
Models
Blueprints
GPUs
Docs
⌘KCtrl+K
Terms of Use
Privacy Policy
Your Privacy Choices
Contact

Copyright © 2026 NVIDIA Corporation

Models

Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices

Optimized by NVIDIALaunch from Hugging FaceBeta

Filters

  • Download Available
    19
  • API Endpoint
    3
  • Retrieval Augmented Generation
    10
  • Text-to-Embedding
    7
  • Object Detection
    6
  • Optical Character Recognition
    2
  • Code Generation
    0
  • NVIDIA
    20
  • Baidu
    1
  • University at Buffalo
    1
  • Meta
    0
  • Mistral AI
    0
    • 22 models
    NVIDIA

    nemotron-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    Today
    NVIDIA

    nemotron-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    Today
    NVIDIA

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Retrieval Augmented Generation
    Today
    NVIDIA

    llama-nemotron-embed-vl-1b-v2

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    535K
    3w
    NVIDIA

    nemoretriever-page-elements-v3

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    682K
    2mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Retrieval Augmented Generation
    152K
    5mo
    NVIDIA

    nemoretriever-ocr-v1

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Optical Character Recognition
    548K
    6mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v1

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Retrieval Augmented Generation
    57.22K
    7mo
    NVIDIA

    nemoretriever-ocr

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Optical Character Recognition
    67.87K
    7mo
    NVIDIA

    llama-3.2-nemoretriever-500m-rerank-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    nemo retriever
    1.02K
    8mo
    NVIDIA

    llama-3.2-nemoretriever-1b-vlm-embed-v1

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    276K
    8mo
    NVIDIA

    nv-embedcode-7b-v1

    The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
    nemo retriever
    319K
    9mo
    NVIDIA

    nemoretriever-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    132K
    11mo
    NVIDIA

    nemoretriever-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    76.73K
    11mo
    NVIDIA

    nemoretriever-page-elements-v2

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    351K
    11mo
    NVIDIA

    nemoretriever-parse

    Cutting-edge vision-language model exceling in retrieving text and metadata from images.
    optical character recognition
    291K
    9mo
    NVIDIA

    llama-3.2-nv-embedqa-1b-v2

    Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
    nemo retriever
    6.98M
    7mo
    NVIDIA

    llama-3.2-nv-rerankqa-1b-v2

    Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
    nemo retriever
    145K
    7mo
    University at Buffalo

    cached

    Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
    nemo retriever
    911
    1y
    NVIDIA

    nv-yolox-page-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    15.97K
    7mo
    Baidu

    paddleocr

    Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.
    Optical Character Recognition
    231K
    7mo
    NVIDIA

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Embedding
    3.07M
    7mo
    Items per page
    of 1 pages