model-metadata/custom_code_execution_files

text stringlengths 0 696
KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/tencent_Hunyuan-0.5B-Instruct_039Ya9m.py", line 19, in <module>
pipe = pipeline("text-generation", model="tencent/Hunyuan-0.5B-Instruct")
File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline
config = AutoConfig.from_pretrained(
model, _from_pipeline=task, code_revision=code_revision, hub_kwargs, model_kwargs
)
File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained
raise ValueError(
...<8 lines>...
)
ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1271, in from_pretrained
config_class = CONFIG_MAPPING[config_dict["model_type"]]
~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__
raise KeyError(key)
KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/tencent_Hunyuan-1.8B-Instruct_0B3jGno.py", line 19, in <module>
pipe = pipeline("text-generation", model="tencent/Hunyuan-1.8B-Instruct")
File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline
config = AutoConfig.from_pretrained(
model, _from_pipeline=task, code_revision=code_revision, hub_kwargs, model_kwargs
)
File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained
raise ValueError(
...<8 lines>...
)
ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1271, in from_pretrained
config_class = CONFIG_MAPPING[config_dict["model_type"]]
~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__
raise KeyError(key)
KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/tencent_Hunyuan-7B-Instruct_0fvToDh.py", line 19, in <module>
pipe = pipeline("text-generation", model="tencent/Hunyuan-7B-Instruct")
File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline
config = AutoConfig.from_pretrained(
model, _from_pipeline=task, code_revision=code_revision, hub_kwargs, model_kwargs
)
File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained
raise ValueError(
...<8 lines>...
)
ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
No suitable GPU found for tencent/Hunyuan-A13B-Instruct \| 389.33 GB VRAM requirement
No suitable GPU found for tencent/Hunyuan-A13B-Instruct \| 389.33 GB VRAM requirement
No suitable GPU found for tngtech/DeepSeek-TNG-R1T2-Chimera \| 3315.10 GB VRAM requirement
No suitable GPU found for tngtech/DeepSeek-TNG-R1T2-Chimera \| 3315.10 GB VRAM requirement
No suitable GPU found for trillionlabs/Tri-21B \| 100.37 GB VRAM requirement
No suitable GPU found for trillionlabs/Tri-21B \| 100.37 GB VRAM requirement
No suitable GPU found for trillionlabs/Tri-70B-preview-SFT \| 341.38 GB VRAM requirement
No suitable GPU found for trillionlabs/Tri-70B-preview-SFT \| 341.38 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/vikhyatk_moondream2_0vgzNSQ.py", line 13, in <module>
pipe = pipeline("image-text-to-text", model="vikhyatk/moondream2", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 931, in pipeline
config = AutoConfig.from_pretrained(
model, _from_pipeline=task, code_revision=code_revision, hub_kwargs, model_kwargs
)
File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1211, in from_pretrained
config_class = get_class_from_dynamic_module(
class_ref, pretrained_model_name_or_path, code_revision=code_revision, **kwargs
)
File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/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-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 433, in get_cached_module_file
get_cached_module_file(
~~~~~~~~~~~~~~~~~~~~~~^
pretrained_model_name_or_path,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
_commit_hash=commit_hash,
^^^^^^^^^^^^^^^^^^^^^^^^^
)

KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/tencent_Hunyuan-0.5B-Instruct_039Ya9m.py", line 19, in <module>

pipe = pipeline("text-generation", model="tencent/Hunyuan-0.5B-Instruct")

File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline

config = AutoConfig.from_pretrained(

model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs

)

File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained

raise ValueError(

...<8 lines>...

)

ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1271, in from_pretrained

config_class = CONFIG_MAPPING[config_dict["model_type"]]

~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__

raise KeyError(key)

KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/tencent_Hunyuan-1.8B-Instruct_0B3jGno.py", line 19, in <module>

pipe = pipeline("text-generation", model="tencent/Hunyuan-1.8B-Instruct")

File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline

config = AutoConfig.from_pretrained(

model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs

)

File "/tmp/.cache/uv/environments-v2/89a254f735f44374/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained

raise ValueError(

...<8 lines>...

)

ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1271, in from_pretrained

config_class = CONFIG_MAPPING[config_dict["model_type"]]

~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__

raise KeyError(key)

KeyError: 'hunyuan_v1_dense'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/tencent_Hunyuan-7B-Instruct_0fvToDh.py", line 19, in <module>

pipe = pipeline("text-generation", model="tencent/Hunyuan-7B-Instruct")

File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline

config = AutoConfig.from_pretrained(

model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs

)

File "/tmp/.cache/uv/environments-v2/4146d04fd154d95d/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained

raise ValueError(

...<8 lines>...

)

ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`

No suitable GPU found for tencent/Hunyuan-A13B-Instruct | 389.33 GB VRAM requirement

No suitable GPU found for tngtech/DeepSeek-TNG-R1T2-Chimera | 3315.10 GB VRAM requirement

No suitable GPU found for trillionlabs/Tri-21B | 100.37 GB VRAM requirement

No suitable GPU found for trillionlabs/Tri-70B-preview-SFT | 341.38 GB VRAM requirement

Traceback (most recent call last):

File "/tmp/vikhyatk_moondream2_0vgzNSQ.py", line 13, in <module>

pipe = pipeline("image-text-to-text", model="vikhyatk/moondream2", trust_remote_code=True)

File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 931, in pipeline

config = AutoConfig.from_pretrained(

model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs

)

File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1211, in from_pretrained

config_class = get_class_from_dynamic_module(

class_ref, pretrained_model_name_or_path, code_revision=code_revision, **kwargs

)

File "/tmp/.cache/uv/environments-v2/2a90239f0d4c576b/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-v2/2a90239f0d4c576b/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 433, in get_cached_module_file

get_cached_module_file(

~~~~~~~~~~~~~~~~~~~~~~^

pretrained_model_name_or_path,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

...<8 lines>...

_commit_hash=commit_hash,

^^^^^^^^^^^^^^^^^^^^^^^^^

)