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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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    • 8 models
    NVIDIA
    Downloadable

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Text-to-Embedding
    38.08M
    2mo
    Items per page
    of 1 pages
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    6.33M
    3mo
    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
    195K
    11mo
    Meta
    Free Endpoint

    esm2-650m

    Generates embeddings of proteins from their amino acid sequences.
    nim
    25.16K
    1y
    NVIDIA
    Downloadable

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Embedding
    31.23M
    10mo
    NVIDIA
    Downloadable

    nvclip

    NV-CLIP is a multimodal embeddings model for image and text.
    Computer vision
    11mo
    NVIDIA
    Free Endpoint

    nv-embed-v1

    Generates high-quality numerical embeddings from text inputs.
    Non-Commercial Use Only
    3.23M
    10mo
    BAAI
    Downloadable

    bge-m3

    Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
    Embeddings
    2.68M
    1y