Instructions to use tiny-random/minicpm-robot-track with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiny-random/minicpm-robot-track with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tiny-random/minicpm-robot-track", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from tiny-random/minicpm-robot-track: direct link, hf CLI and curl.
- Browser
- Download file 2.27 kB
-
https://huggingface.co/tiny-random/minicpm-robot-track/resolve/main/config.json
- Command line
-
hf download hf://tiny-random/minicpm-robot-track/config.json
-
curl -L -o config.json https://huggingface.co/tiny-random/minicpm-robot-track/resolve/main/config.json
2.27 kB
| { | |
| "action_dim": 3, | |
| "architectures": [ | |
| "MiniCPMRobotTrackModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_robottrack.MiniCPMRobotTrackConfig", | |
| "AutoModel": "modeling_robottrack.MiniCPMRobotTrackModel" | |
| }, | |
| "backbone_config": { | |
| "bos_token_id": 1, | |
| "dim_model_base": 32, | |
| "eos_token_id": [ | |
| 2, | |
| 73440 | |
| ], | |
| "hidden_act": "silu", | |
| "hidden_size": 32, | |
| "initializer_range": 0.1, | |
| "intermediate_size": 64, | |
| "max_position_embeddings": 128, | |
| "num_attention_heads": 1, | |
| "num_hidden_layers": 4, | |
| "num_key_value_heads": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": { | |
| "long_factor": [ | |
| 1.0004360675811768, | |
| 1.0668443441390991, | |
| 1.1631425619125366, | |
| 1.3025742769241333, | |
| 1.5040205717086792, | |
| 1.7941505908966064, | |
| 2.2101221084594727, | |
| 2.802666664123535, | |
| 3.6389970779418945, | |
| 4.804192543029785, | |
| 6.39855432510376, | |
| 8.527148246765137, | |
| 11.277542114257812, | |
| 14.684998512268066, | |
| 18.69317054748535, | |
| 23.13019371032715 | |
| ], | |
| "original_max_position_embeddings": 128, | |
| "rope_theta": 10000.0, | |
| "rope_type": "longrope", | |
| "short_factor": [ | |
| 1.0004360675811768, | |
| 1.0668443441390991, | |
| 1.1631425619125366, | |
| 1.3025742769241333, | |
| 1.5040205717086792, | |
| 1.7941505908966064, | |
| 2.2101221084594727, | |
| 2.802666664123535, | |
| 3.6389970779418945, | |
| 4.804192543029785, | |
| 6.39855432510376, | |
| 8.527148246765137, | |
| 11.277542114257812, | |
| 14.684998512268066, | |
| 18.69317054748535, | |
| 23.13019371032715 | |
| ] | |
| }, | |
| "scale_depth": 1.4, | |
| "scale_emb": 12, | |
| "use_cache": false, | |
| "vocab_size": 73448 | |
| }, | |
| "backbone_dtype": "bfloat16", | |
| "backbone_name": "openbmb/MiniCPM4-0.5B", | |
| "coarse_tokens_per_frame": 4, | |
| "dtype": "float32", | |
| "fine_tokens_current_frame": 64, | |
| "history_frames": 31, | |
| "max_text_tokens": 128, | |
| "max_time_steps": 128, | |
| "model_name": "MiniCPM-RobotTrack", | |
| "model_type": "minicpm_robottrack", | |
| "num_waypoints": 8, | |
| "trajectory_dropout": 0.4, | |
| "transformers_version": "5.20.2", | |
| "use_tanh_actions": true, | |
| "vision_feature_dim": 1536, | |
| "xy_scale": 2.0 | |
| } | |