Upload nvidia_Nemotron-Cascade-14B-Thinking_0.txt with huggingface_hub

nvidia_Nemotron-Cascade-14B-Thinking_0.txt

@@ -11,7 +11,7 @@ pipe(messages)
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/nvidia_Nemotron-Cascade-14B-Thinking_0pGDG1W.py", line 26, in <module>
+  File "/tmp/nvidia_Nemotron-Cascade-14B-Thinking_0cGN5ZQ.py", line 26, in <module>
     pipe = pipeline("text-generation", model="nvidia/Nemotron-Cascade-14B-Thinking")
   File "/tmp/.cache/uv/environments-v2/d389e4950376e589/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1229, in pipeline
     return pipeline_class(model=model, framework=framework, task=task, **kwargs)
@@ -50,4 +50,4 @@ Traceback (most recent call last):
         ^^^^^^^^^^^^^
     )
     ^
-torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 170.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 14.69 MiB is free. Process 665415 has 22.28 GiB memory in use. Of the allocated memory 22.04 GiB is allocated by PyTorch, and 1.32 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 170.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 14.69 MiB is free. Process 923967 has 22.28 GiB memory in use. Of the allocated memory 22.04 GiB is allocated by PyTorch, and 1.32 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)