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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

Filters (2)

  • Download Available
    4
  • API Endpoint
    1
  • Retrieval Augmented Generation
    5
  • Text-to-Embedding
    4
  • Code Generation
    0
  • Drug Discovery
    0
  • Image-to-Text
    0
  • NVIDIA
    5
  • Meta
    0
  • Mistral AI
    0
  • Microsoft
    0
  • Google
    0
  • nemo retriever
  • Embedding
    • 5 models
    NVIDIA
    llama-nemotron-embed-vl-1b-v2
    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    3w
    NVIDIA
    llama-3.2-nemoretriever-1b-vlm-embed-v1
    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    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
    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
    7mo
    NVIDIA
    nv-embedqa-e5-v5
    English text embedding model for question-answering retrieval.
    Embedding
    7mo
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