nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43开源了新模型

NVIDIA nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43 nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43 https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43

nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43 · 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) / cosmos3-nano-libero10-sdg-export-S5_2_s43 (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43) Like 0 Follow NVIDIA 71.9k Robotics (https://huggingface.co/models?pipeline_tag=robotics) Cosmos (https://huggingface.co/models?library=cosmos) Safetensors (https://huggingface.co/models?library=safetensors) cosmos3_omni (https://huggingface.co/models?other=cosmos3_omni) libero (https://huggingface.co/models?other=libero) vla (https://huggingface.co/models?other=vla) custom_code (https://huggingface.co/models?other=custom_code) License: nvidia-open-model-license Model card (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43) Files Files and versions xet (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43/tree/main) Community (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43/discussions) Deploy Copy to bucket new Use this model Instructions to use nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Cosmos (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43?library=cosmos) How to use nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43 with Cosmos: # 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/cosmos3-nano-libero10-sdg-export-S5_2_s43/colab) Kaggle (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43/kaggle) Cosmos3-Nano LIBERO-10 policy, cell S5_2_s43 (training seed 43) (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43#cosmos3-nano-libero-10-policy-cell-s52s43-training-seed-43) (https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43#cosmos3-nano-libero-10-policy-cell-s5_2_s43-training-seed-43) Cosmos3-Nano LIBERO-10 policy, cell S5_2_s43 (training seed 43) A Cosmos3-Nano action policy post-trained on LIBERO-10, the second training seed of one cell of the controlled synthetic-data study in the Cosmos Cookbook recipe "Restyle LIBERO-10 Demonstrations with Cosmos3-Nano-Sim-Transfer and Measure the Gain Against a Matched Control". Export of the training checkpoint (bf16 safetensors, EMA weights, 7 shards, about 30 GB); loadable by the cosmos-framework policy serve