--- library_name: lerobot license: apache-2.0 base_model: lerobot/pi05_base pipeline_tag: robotics tags: - robotics - lerobot - pi0_5 - pi05 - manipulation - block-transfer - trossen-ai datasets: - TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer --- # pi0.5 — Block Transfer (batch size 8) Fine-tuned [pi0.5](https://huggingface.co/lerobot/pi05_base) vision-language-action policy for the **block transfer** task on the **Trossen AI Stationary** bimanual platform. ## Model details | | | |---|---| | **Architecture** | pi0.5 (PaliGemma `gemma_2b` backbone + `gemma_300m` action expert) | | **Base model** | [`lerobot/pi05_base`](https://huggingface.co/lerobot/pi05_base) | | **Framework** | [LeRobot](https://github.com/huggingface/lerobot) | | **Robot platform** | Trossen AI Stationary (bimanual, 14-DoF) | | **Cameras** | `cam_high`, `cam_low`, `cam_left_wrist`, `cam_right_wrist` (480×640 RGB) | | **Action chunk** | 50 steps, 10 inference steps | | **Precision** | bfloat16 | | **License** | Apache 2.0 | ## Training | Hyperparameter | Value | |---|---| | **Batch size** | **8** | | Training steps | 100,000 | | Learning rate | 2e-5 (cosine decay to 2.5e-6 over 30k steps, 1k warmup) | | Optimizer | AdamW (β=(0.9, 0.95), wd=0.01, grad clip 1.0) | | Gradient checkpointing | Enabled | | Hardware | 1× NVIDIA H200 (141 GB VRAM) via [Trossen Cloud Service](https://www.trossenrobotics.com/) | | Dataset | [`TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer`](https://huggingface.co/datasets/TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer) | ## Usage Load the policy with LeRobot: ```python from lerobot.policies.pi0_5.modeling_pi0_5 import PI05Policy policy = PI05Policy.from_pretrained( "TrossenRoboticsCommunity/pi05-block-transfer-bs8" ) ``` See the [LeRobot pi0.5 docs](https://github.com/huggingface/lerobot) for the full inference / rollout setup on real hardware. ## Files | File | Purpose | |---|---| | `config.json` | Policy configuration | | `model.safetensors` | Model weights (~7.5 GB) | | `policy_preprocessor.json` + `*_normalizer_processor.safetensors` | Input normalizer (state/action quantiles) | | `policy_postprocessor.json` + `*_unnormalizer_processor.safetensors` | Output unnormalizer | ## Related models - [`TrossenRoboticsCommunity/pi05-block-transfer-bs8`](https://huggingface.co/TrossenRoboticsCommunity/pi05-block-transfer-bs8) — this model - [`TrossenRoboticsCommunity/pi05-block-transfer-bs32`](https://huggingface.co/TrossenRoboticsCommunity/pi05-block-transfer-bs32) — same task, batch size 32