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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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  • Download Available
    9
  • API Endpoint
    2
  • Drug Discovery
    10
  • Code Generation
    0
  • Retrieval Augmented Generation
    0
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    0
  • Object Detection
    0
  • Meta
    2
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    2
  • IPD
    2
  • MIT
    2
  • Openfold
    2
    • 11 models
    Openfold

    openfold3

    OpenFold3 is a third-generation biomolecular foundation model that predicts the three-dimensional structures of molecular complexes (proteins, DNA, RNA, ligands)
    Biology
    1.24K
    4mo
    MIT

    Boltz-2

    Predict complex structures using Boltz-2.
    nim
    144K
    8mo
    Colabfold

    msa-search

    Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
    nim
    911
    8mo
    Openfold

    openfold2

    Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.
    nim
    932
    9mo
    DeepMind

    alphafold2-multimer

    Predicts the 3D structure of a protein from its amino acid sequence.
    nim
    147
    11mo
    Meta

    esm2-650m

    Generates embeddings of proteins from their amino acid sequences.
    nim
    194K
    1y
    DeepMind

    alphafold2

    Predicts the 3D structure of a protein from its amino acid sequence.
    nim
    231
    11mo
    IPD

    proteinmpnn

    ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
    biology
    12.33K
    7mo
    IPD

    rfdiffusion

    A generative model of protein backbones for protein binder design.
    biology
    11.4K
    9mo
    Meta

    esmfold

    Predicts the 3D structure of a protein from its amino acid sequence.
    biology
    649K
    9mo
    MIT

    diffdock

    Predicts the 3D structure of how a molecule interacts with a protein.
    Chemistry
    11.21K
    7mo
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