Robotics
Transformers
Safetensors
minicpm_robottrack
feature-extraction
vision-language-action
embodied-ai
minicpm
visual-tracking
custom_code
Instructions to use openbmb/MiniCPM-RobotTrack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-RobotTrack with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-RobotTrack", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 3,096 Bytes
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"architectures": [
"MiniCPMRobotTrackModel"
],
"auto_map": {
"AutoConfig": "configuration_robottrack.MiniCPMRobotTrackConfig",
"AutoModel": "modeling_robottrack.MiniCPMRobotTrackModel"
},
"model_type": "minicpm_robottrack",
"model_name": "MiniCPM-RobotTrack",
"backbone_name": "openbmb/MiniCPM4-0.5B",
"backbone_config": {
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"hidden_act": "silu",
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"initializer_range": 0.1,
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"max_position_embeddings": 32768,
"num_attention_heads": 16,
"num_hidden_layers": 24,
"num_key_value_heads": 2,
"rms_norm_eps": 1e-05,
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"use_cache": false,
"vocab_size": 73448,
"scale_emb": 12,
"dim_model_base": 256,
"scale_depth": 1.4
},
"backbone_dtype": "bfloat16",
"vision_feature_dim": 1536,
"history_frames": 31,
"coarse_tokens_per_frame": 4,
"fine_tokens_current_frame": 64,
"num_waypoints": 8,
"action_dim": 3,
"max_text_tokens": 128,
"max_time_steps": 4096,
"trajectory_dropout": 0.4,
"xy_scale": 2.0,
"use_tanh_actions": true,
"transformers_version": "4.56.2"
}
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