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    Models/Robotics/0xAnkitSingh/GR00T-N1.6-LIBERO
    Roboticstransformersmit

    GR00T-N1.6-LIBERO

    by 0xAnkitSingh

    Identifier
    Model ID
    0xAnkitSingh/GR00T-N1.6-LIBERO

    Tags

    transformerssafetensorsGr00tN1d6GR00TNvidiaLIBEROlibero_goallibero_spatiallibero_objectlibero_10roboticsvision-language-actionphysical-aiendataset:IPEC-COMMUNITY/libero_spatial_no_noops_1.0.0_lerobotdataset:IPEC-COMMUNITY/libero_goal_no_noops_1.0.0_lerobotdataset:IPEC-COMMUNITY/libero_object_no_noops_1.0.0_lerobotdataset:IPEC-COMMUNITY/libero_10_no_noops_1.0.0_lerobotbase_model:nvidia/GR00T-N1.6-3Bbase_model:finetune:nvidia/GR00T-N1.6-3Blicense:mitendpoints_compatibleregion:us

    Use GR00T-N1.6-LIBERO on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, GR00T-N1.6-LIBERO runs as a managed extractor inside a processing pipeline. Point a bucket of robotics data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.