nvidia/agile_one_s_walk_n2_1680开源了新模型

NVIDIA nvidia/agile_one_s_walk_n2_1680 nvidia/agile_one_s_walk_n2_1680 https://huggingface.co/nvidia/agile_one_s_walk_n2_1680

nvidia/agile_one_s_walk_n2_1680 · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/nvidia) nvidia (https://huggingface.co/nvidia) / agile_one_s_walk_n2_1680 (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680) Like 0 Follow NVIDIA 71.1k Robotics (https://huggingface.co/models?pipeline_tag=robotics) ONNX (https://huggingface.co/models?library=onnx) Safetensors (https://huggingface.co/models?library=safetensors) TensorRT (https://huggingface.co/models?library=tensorrt) custom (https://huggingface.co/models?other=custom) gr00t (https://huggingface.co/models?other=gr00t) Model card (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680) Files Files and versions xet (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680/tree/main) Community (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680/discussions) Deploy Copy to bucket new Use this model Instructions to use nvidia/agile_one_s_walk_n2_1680 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries TensorRT (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680?library=tensorrt) How to use nvidia/agile_one_s_walk_n2_1680 with TensorRT: # No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js Notebooks Google Colab (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680/colab) Kaggle (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680/kaggle) Agile One S Walk — GR00T N2, checkpoint 1680 (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680#agile-one-s-walk--gr00t-n2-checkpoint-1680) Download (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680#download) (https://huggingface.co/nvidia/agile_one_s_walk_n2_1680#agile-one-s-walk--gr00t-n2-checkpoint-1680) Agile One S Walk — GR00T N2, checkpoint 1680 Walking deployment model with four cameras. Original instruction: walk to another table. This repository contains one deployment model only. It republishes the original deployment assets; no retraining, ONNX re-export, or engine rebuild was performed. Entry configuration: policy.yaml. All model files are at the repository root. Includes 3 ONNX graphs, their external tensor files, and 3 existing TensorRT BF16 plans/engines, with original configurations and build metadata. The original checkpoint safetensors, tokenizer, statistics, auxiliary VAE, and ONNX external tensors are included. The shared upstream dependency nvidia/Cosmos-Reason1-7B at revision 375e24000b24baed78f4618d3dd779e47cd96323 is not duplicated here. The t