{
    "architectures": [
        "LerobotSmolVLAWrappedModel"
    ],
    "auto_map": {
        "AutoModel": "modeling_lerobot_policy.LerobotSmolVLAWrappedModel"
    },
    "adapt_to_pi_aloha": false,
    "add_image_special_tokens": false,
    "attention_mode": "cross_attn",
    "chunk_size": 50,
    "device": "cuda",
    "empty_cameras": 0,
    "expert_width_multiplier": 0.75,
    "freeze_vision_encoder": true,
    "input_features": {
        "observation.image": {
            "shape": [
                3,
                256,
                256
            ],
            "type": "VISUAL"
        },
        "observation.image2": {
            "shape": [
                3,
                256,
                256
            ],
            "type": "VISUAL"
        },
        "observation.image3": {
            "shape": [
                3,
                256,
                256
            ],
            "type": "VISUAL"
        },
        "observation.state": {
            "shape": [
                6
            ],
            "type": "STATE"
        }
    },
    "load_vlm_weights": true,
    "max_action_dim": 32,
    "max_period": 4,
    "max_state_dim": 32,
    "min_period": 0.004,
    "n_action_steps": 50,
    "n_obs_steps": 1,
    "normalization_mapping": {
        "ACTION": "MEAN_STD",
        "STATE": "MEAN_STD",
        "VISUAL": "IDENTITY"
    },
    "num_expert_layers": 0,
    "num_steps": 10,
    "num_vlm_layers": 16,
    "optimizer_betas": [
        0.9,
        0.95
    ],
    "optimizer_eps": "1e-08",
    "optimizer_grad_clip_norm": 10,
    "optimizer_lr": 0.0001,
    "optimizer_weight_decay": "1e-10",
    "output_features": {
        "action": {
            "shape": [
                6
            ],
            "type": "ACTION"
        }
    },
    "pad_language_to": "max_length",
    "prefix_length": 0,
    "resize_imgs_with_padding": [
        512,
        512
    ],
    "scheduler_decay_lr": 2.5e-06,
    "scheduler_decay_steps": 30000,
    "scheduler_warmup_steps": 1000,
    "self_attn_every_n_layers": 2,
    "tokenizer_max_length": 48,
    "train_expert_only": true,
    "train_state_proj": true,
    "type": "smolvla",
    "use_amp": false,
    "use_cache": true,
    "use_delta_joint_actions_aloha": false,
    "vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct"
}