Downloads · 30 days
0
phospho-app/vrbhalaaji-gr00t-PenGrab-bjuh7
vrbhalaaji-gr00t-PenGrab-bjuh7 is a machine learning model from phospho-app. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
We faced an issue while training your model.
Downloads · 30 days
0
Access
Public
Updated Aug 3, 2025
Repo size
—
Likes
0
Public
Click a slice to open those files.
.md2 KB · 57%
From the Hugging Face model README
We faced an issue while training your model.
Traceback (most recent call last):
File "/root/src/helper.py", line 166, in predict
trainer.train(timeout_seconds=timeout_seconds)
File "/root/phosphobot/am/gr00t.py", line 1269, in train
asyncio.run(
File "/opt/conda/lib/python3.11/asyncio/runners.py", line 190, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/opt/conda/lib/python3.11/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/lib/python3.11/asyncio/base_events.py", line 654, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/root/phosphobot/am/gr00t.py", line 1116, in run_gr00t_training
raise RuntimeError(error_msg)
RuntimeError: Training process failed with exit code 1:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/huggingface/modules/transformers_modules/eagle2_hg_model/modeling_eagle2_5_vl.py", line 253, in forward
f"warning: {e}, input_embeds[selected].shape={input_embeds[selected].shape}, "
~~~~~~~~~~~~^^^^^^^^^^
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
0%| | 0/1170 [00:13<?, ?it/s]
📖 Get Started: docs.phospho.ai
🤖 Get your robot: robots.phospho.ai