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11 results for

Filters (1)

  • Free Endpoint
    2
  • Partner Endpoint
    2
  • Download Available
    9
  • Retrieval Augmented Generation
    11
  • Text-to-Embedding
    6
  • Object Detection
    0
  • Optical Character Recognition
    0
  • Deep Infra
    2
  • NVIDIA
    11
  • Baidu
    0
  • Retrieval Augmented Generation
    • NVIDIA
    Downloadable

    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.
    Model
    nemo retriever
    10mo
    Items per page
    of 1 pages
    10.71K
    NVIDIA
    Free Endpoint

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    313K
    9mo
    NVIDIA
    Downloadable

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    86
    7mo
    NVIDIA
    Downloadable

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    2.01M
    1mo
    NVIDIA
    Downloadable

    llama-nemotron-rerank-1b-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    190K
    1mo
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    6.97M
    2mo
    NVIDIA
    Downloadable

    llama-nemotron-rerank-vl-1b-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    15.08K
    1mo
    NVIDIA
    Downloadable

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

    Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
    Model
    nemo retriever
    2.4M
    9mo
    NVIDIA
    Downloadable

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

    Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
    Model
    nemo retriever
    96.93K
    9mo
    NVIDIA
    Free Endpoint

    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.
    Model
    nemo retriever
    118K
    11mo
    NVIDIA
    Downloadable

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    9.22M
    9mo