Robotics
Transformers
Safetensors
English
rio2
feature-extraction
Mixture of Experts
diffusion-jepa
custom_code
Instructions to use hoguai/RIO-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoguai/RIO-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hoguai/RIO-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_id": "allenai/MolmoAct2-SO100_101", | |
| "norm_tag": "so100_so101_molmoact2", | |
| "state_dim": 6, | |
| "action_dim": 6, | |
| "action_horizon": 30, | |
| "state_history_len": 8, | |
| "action_history_len": 8, | |
| "s2_token_count": 16, | |
| "s2_input_width": 2560, | |
| "s2_width": 1024, | |
| "s1_width": 384, | |
| "s1_layers": 6, | |
| "s1_heads": 8, | |
| "s1_dropout": 0.05, | |
| "flow_inference_steps": 4, | |
| "temporal_ensemble_enabled": true, | |
| "temporal_ensemble_max_chunks": 4, | |
| "temporal_ensemble_decay": 0.15, | |
| "task_memory_enabled": true, | |
| "task_memory_slots": 8, | |
| "task_memory_ema": 0.97, | |
| "task_memory_alpha": 0.25, | |
| "task_memory_max_norm": 10.0, | |
| "s1_policy_mode": "jepa_diffusion", | |
| "enable_jepa_diffusion": true, | |
| "diffusion_inference_steps": 1, | |
| "diffusion_loss_weight": 1.0, | |
| "consistency_loss_weight": 0.5, | |
| "flow_loss_weight": 0.1, | |
| "jepa_loss_weight": 0.1, | |
| "jepa_action_prior_weight": 0.05, | |
| "jepa_hidden_dim": 256, | |
| "jepa_latent_dim": 256, | |
| "jepa_ema_decay": 0.996, | |
| "jepa_action_prior_alpha": 0.25, | |
| "jepa_condition_alpha": 1.0, | |
| "s1_sampling_noise_scale": 1.0, | |
| "enable_s1_moe": true, | |
| "s1_moe_num_experts": 10, | |
| "s1_moe_top_k": 1, | |
| "s1_moe_expert_hidden_dim": 177000, | |
| "s1_moe_residual_scale": 0.1, | |
| "dtype": "bfloat16", | |
| "s2_refresh_hz": 8.0, | |
| "max_s2_cache_age_s": 0.2, | |
| "action_clip": 1.0, | |
| "smooth_loss_weight": 0.02, | |
| "action_l1_weight": 0.0, | |
| "residual_alpha": 1.0, | |
| "model_type": "rio2", | |
| "architectures": [ | |
| "Rio2Model" | |
| ], | |
| "weight_format": "safetensors", | |
| "weight_file": "model.safetensors", | |
| "runtime_type": "two_rate_weight_preserved", | |
| "auto_map": { | |
| "AutoConfig": "configuration_rio2.Rio2Config", | |
| "AutoModel": "modeling_rio2.Rio2Model", | |
| "AutoProcessor": "processing_rio2.Rio2Processor" | |
| } | |
| } | |