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File "/tmp/inclusionAI_Ling-lite_0gdg02g.py", line 13, in <module>
pipe = pipeline("text-generation", model="inclusionAI/Ling-lite", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1210, in pipeline
return pipeline_class(model=model, framework=framework, task=task, **kwargs)
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 121, in __init__
super().__init__(*args, **kwargs)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1043, in __init__
self.model.to(self.device)
~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4333, in to
return super().to(*args, **kwargs)
~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1369, in to
return self._apply(convert)
~~~~~~~~~~~^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
module._apply(fn)
~~~~~~~~~~~~~^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
module._apply(fn)
~~~~~~~~~~~~~^^^^
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
module._apply(fn)
~~~~~~~~~~~~~^^^^
[Previous line repeated 4 more times]
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 955, in _apply
param_applied = fn(param)
File "/tmp/.cache/uv/environments-v2/546d718608379bcd/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1355, in convert
return t.to(
~~~~^
device,
^^^^^^^
dtype if t.is_floating_point() or t.is_complex() else None,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
non_blocking,
^^^^^^^^^^^^^
)
^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 14.69 MiB is free. Process 25826 has 22.28 GiB memory in use. Of the allocated memory 18.42 GiB is allocated by PyTorch, and 3.62 GiB 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)
Everything was good in inclusionAI_Ling-lite_1.txt
No suitable GPU found for inclusionAI/Ling-plus | 708.37 GB VRAM requirement
No suitable GPU found for inclusionAI/Ling-plus | 708.37 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/jina-embeddings-v4_0sguDsi.py", line 12, in <module>
model = AutoModel.from_pretrained("jinaai/jina-embeddings-v4", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/3dff24d90291b0dd/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 582, in from_pretrained
model_class = get_class_from_dynamic_module(
class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
)
File "/tmp/.cache/uv/environments-v2/3dff24d90291b0dd/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 570, in get_class_from_dynamic_module
final_module = get_cached_module_file(
repo_id,
...<8 lines>...
repo_type=repo_type,
)
File "/tmp/.cache/uv/environments-v2/3dff24d90291b0dd/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 393, in get_cached_module_file
modules_needed = check_imports(resolved_module_file)
File "/tmp/.cache/uv/environments-v2/3dff24d90291b0dd/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 225, in check_imports
raise ImportError(
...<2 lines>...
)
ImportError: This modeling file requires the following packages that were not found in your environment: PIL, peft. Run `pip install PIL peft`
Traceback (most recent call last):
File "/tmp/jinaai_jina-embeddings-v4_0iXrdAS.py", line 12, in <module>
model = AutoModel.from_pretrained("jinaai/jina-embeddings-v4", trust_remote_code=True, torch_dtype="auto"),
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/6bac373a2ba13a07/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 582, in from_pretrained
model_class = get_class_from_dynamic_module(
class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
)
File "/tmp/.cache/uv/environments-v2/6bac373a2ba13a07/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 570, in get_class_from_dynamic_module
final_module = get_cached_module_file(
repo_id,
...<8 lines>...
repo_type=repo_type,
)
File "/tmp/.cache/uv/environments-v2/6bac373a2ba13a07/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 393, in get_cached_module_file
modules_needed = check_imports(resolved_module_file)
File "/tmp/.cache/uv/environments-v2/6bac373a2ba13a07/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 225, in check_imports
raise ImportError(
...<2 lines>...
)
ImportError: This modeling file requires the following packages that were not found in your environment: PIL, peft. Run `pip install PIL peft`
Traceback (most recent call last):
File "/tmp/kakaocorp_kanana-1.5-v-3b-instruct_0nMiV4j.py", line 13, in <module>
pipe = pipeline("image-text-to-text", model="kakaocorp/kanana-1.5-v-3b-instruct", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/5826d58e4a076461/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1008, in pipeline
framework, model = infer_framework_load_model(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
adapter_path if adapter_path is not None else model,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
**model_kwargs,
^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/5826d58e4a076461/lib/python3.13/site-packages/transformers/pipelines/base.py", line 332, in infer_framework_load_model
raise ValueError(
f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"