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THU98/pi05_franka_5task_yhy-project_full_10k
pi05_franka_5task_yhy-project_full_10k is a robotics model from THU98. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for openpi. The card lists the license as apache-2.0.
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Updated Aug 25, 2026
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From the Hugging Face model README
English | 中文说明
This repository contains the final JAX/Orbax checkpoint from full-parameter supervised fine-tuning of the official OpenPI pi05_base model on five real-robot manipulation tasks collected with a dual Franka FR3 setup.
| Task ID | Training prompt |
|---|---|
place_bowl_on_cabinet | Place the green bowl on top of the cabinet with the left arm. |
stack_bowls_two | Use the left arm to stack the blue plate on top of the green plate. |
place_bowl_on_plate | Place the gray bowl on the green plate with the left arm. |
place_cup_on_tray | Place the cup on the tray with the left arm. |
tape_on_basket | Place the tape in the green basket with the left arm. |
Use the exact prompt wording above for the closest match to training-time conditioning.
The OpenPI model configuration pads the 16-dimensional source action to action_dim=32 internally and predicts an action horizon of 20.
| Setting | Value |
|---|---|
| Base checkpoint | Official OpenPI pi05_base |
| Method | Full-parameter SFT |
| Training steps | 10,000 |
| Hardware | 4 × NVIDIA A100 80GB |
| Global batch | 16 |
| Optimizer | AdamW, gradient clipping at 1.0 |
| Learning rate | cosine schedule, 1,000 warmup steps, peak 1e-5, floor 1e-6 |
| EMA | Disabled |
| Checkpoint interval | 2,000 steps plus final checkpoint |
| Loss logging | Every 100 steps |
| Final checkpoint index | 9999 |
The last logged training loss at step 9,900 was 0.0050. Training loss is not a real-robot success metric.
hf download THU98/pi05_franka_5task_yhy-project_full_10k \
--local-dir ./pi05_franka_5task_yhy-project_full_10k
The repository is an OpenPI JAX/Orbax checkpoint. Use it with a matching local OpenPI configuration named pi05_franka_5task_cup_full:
uv run scripts/serve_policy.py policy:checkpoint \
--policy.config=pi05_franka_5task_cup_full \
--policy.dir=./pi05_franka_5task_yhy-project_full_10k
The local configuration must match the training architecture (pi05=True, action_dim=32, action_horizon=20) and must supply the included normalization assets. This is not a Transformers from_pretrained() checkpoint.
No controlled real-robot success-rate evaluation is published with this checkpoint. The held-out episodes were retained for offline checkpoint comparison, but training loss alone does not establish deployment performance.
这是基于官方 OpenPI pi05_base,使用双 Franka FR3 真机遥操数据进行全参数 SFT 得到的五任务模型。模型包含柜顶放碗、叠两个盘子、碗放盘子、杯子放托盘和胶带放篮子。训练使用 223 条有效轨迹,另外保留 25 条轨迹,总训练 10,000 步。
输入包括胸部、左腕、右腕三路图像、Language Instruction 和 16 维双臂关节/夹爪状态;输出为双臂动作序列。当前没有发布正式真机成功率,部署前必须核对相机、动作顺序、控制频率和安全限制。