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Models

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

Optimized by NVIDIALaunch from Hugging FaceBeta

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    14
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    9
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    0
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  • Retrieval Augmented Generation
    • 14 models
    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.
    nemo retriever
    4.6K
    1w
    NVIDIA
    Downloadable

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Text-to-Embedding
    403K
    1w
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    1.01M
    1mo
    NVIDIA
    Downloadable

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Text-to-Embedding
    91.08K
    5mo
    NVIDIA
    Free Endpoint

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Text-to-Embedding
    87.78K
    7mo
    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.
    nemo retriever
    1.4K
    8mo
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    255K
    8mo
    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.
    nemo retriever
    282K
    9mo
    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.
    nemo retriever
    6.2M
    7mo
    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.
    nemo retriever
    146K
    7mo
    NVIDIA
    Downloadable

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Embedding
    2.97M
    7mo
    NVIDIA
    Free Endpoint

    nv-embed-v1

    Generates high-quality numerical embeddings from text inputs.
    Non-Commercial Use Only
    1.56M
    7mo
    BAAI
    Downloadable

    bge-m3

    Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
    Embeddings
    1.65M
    11mo
    NVIDIA
    Free Endpoint

    rerank-qa-mistral-4b

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Ranking
    163K
    1y
    Items per page
    of 1 pages