nvidia/cosmos3-nano-libero10-sdg-export-R

Cosmos3-Nano LIBERO-10 policy, cell R

A Cosmos3-Nano action policy post-trained on LIBERO-10, 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 server. The training data is not redistributed here: LIBERO-10 is at nvidia/LIBERO_LeRobot_v3, and the restyled sets are regenerated by the recipe.

Training data	379 real LIBERO-10 demonstrations
Iterations	0->2000 (global batch 2048, training seed 42)
Success, standard scenes	93.9 +/- 1.0 % (10 tasks x 50 initial states, three evaluation seeds)
Success, perturbed scenes	85.1 +/- 0.6 % (same initial states with randomised lighting, textures, skybox and camera jitter)
Base model	nvidia/Cosmos3-Nano, revision e59a53c2
Framework	cosmos-framework c23e51f2 (v1.2.2)

Read the recipe before comparing cells: a restyled cell is only interpretable next to its duplicate control, and differences under 2.5 points are within the training-seed spread.

Licence: derivative of nvidia/Cosmos3-Nano; the NVIDIA Open Model License applies.