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  • Free Endpoint
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    5
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    • 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
    1M
    1y
    Items per page
    of 1 pages
    NVIDIA
    Downloadable

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    16M
    11mo
    Meta
    Free Endpoint

    esm2-650m

    Generates embeddings of proteins from their amino acid sequences.
    Model
    nim
    128K
    1y
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    8M
    4mo
    BAAI
    Downloadable

    bge-m3

    Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
    Model
    Embeddings
    3M
    1y
    NVIDIA
    Downloadable

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    4M
    3mo
    NVIDIA
    Free Endpoint

    nv-embed-v1

    Generates high-quality numerical embeddings from text inputs.
    Model
    Non-Commercial Use Only
    4M
    11mo