model-metadata/custom_code_execution_files

text stringlengths 0 696
During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
model = model_class.from_pretrained(model, **fp32_kwargs)
File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM-V-4.2c0ac549e120638e561951068f27ef5f6bd17a5f.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.



Traceback (most recent call last):
File "/tmp/openbmb_MiniCPM-V-4_1z1whWw.py", line 12, in <module>
model = AutoModel.from_pretrained("openbmb/MiniCPM-V-4", trust_remote_code=True, torch_dtype="auto"),
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/67abe00338858a56/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-v2/67abe00338858a56/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-v2/67abe00338858a56/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-v2/67abe00338858a56/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, torchvision. Run `pip install PIL torchvision`
No suitable GPU found for IntervitensInc/pangu-pro-moe-model \| 174.32 GB VRAM requirement
No suitable GPU found for IntervitensInc/pangu-pro-moe-model \| 174.32 GB VRAM requirement
Everything was good in phi-3-M3-coder_0
Everything was good in phi-3-M3-coder_1
Everything was good in rednote-hilab_dots.ocr_0.txt
No suitable GPU found for rednote-hilab/dots.vlm1.inst \| 3256.18 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/sentence-transformers_all-MiniLM-L6-v2_0ymyt2o.py", line 16, in <module>
from sentence_transformers import SentenceTransformer
ModuleNotFoundError: No module named 'sentence_transformers'
No suitable GPU found for skt/A.X-3.1 \| 83.95 GB VRAM requirement
No suitable GPU found for skt/A.X-3.1 \| 83.95 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/skt_A.X-4.0-VL-Light_0IkvuFO.py", line 13, in <module>
pipe = pipeline("image-text-to-text", model="skt/A.X-4.0-VL-Light", trust_remote_code=True)
File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/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/f7387fa1610e269a/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"
)
ValueError: Could not load model skt/A.X-4.0-VL-Light with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:

while loading with AutoModelForImageTextToText, an error is thrown:
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model
model = model_class.from_pretrained(model, **kwargs)
File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.skt.A.X-4.0-VL-Light.98fd0c5d90cb38ff8b91493d5b3e86334d55a533.configuration_ax4vl.AX4VLConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
model = model_class.from_pretrained(model, **fp32_kwargs)
File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
raise ValueError(
...<2 lines>...
)
ValueError: Unrecognized configuration class <class 'transformers_modules.skt.A.X-4.0-VL-Light.98fd0c5d90cb38ff8b91493d5b3e86334d55a533.configuration_ax4vl.AX4VLConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.



Everything was good in skt_A.X-4.0-VL-Light_1.txt
No suitable GPU found for stepfun-ai/step3 \| 777.21 GB VRAM requirement
No suitable GPU found for stepfun-ai/step3 \| 777.21 GB VRAM requirement
Traceback (most recent call last):
File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/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-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__
raise KeyError(key)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model

model = model_class.from_pretrained(model, **fp32_kwargs)

File "/tmp/.cache/uv/environments-v2/317c323bcddb3855/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.openbmb.MiniCPM-V-4.2c0ac549e120638e561951068f27ef5f6bd17a5f.configuration_minicpm.MiniCPMVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.

Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

Traceback (most recent call last):

File "/tmp/openbmb_MiniCPM-V-4_1z1whWw.py", line 12, in <module>

model = AutoModel.from_pretrained("openbmb/MiniCPM-V-4", trust_remote_code=True, torch_dtype="auto"),

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

File "/tmp/.cache/uv/environments-v2/67abe00338858a56/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-v2/67abe00338858a56/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-v2/67abe00338858a56/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-v2/67abe00338858a56/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, torchvision. Run `pip install PIL torchvision`

No suitable GPU found for IntervitensInc/pangu-pro-moe-model | 174.32 GB VRAM requirement

Everything was good in phi-3-M3-coder_0

Everything was good in phi-3-M3-coder_1

Everything was good in rednote-hilab_dots.ocr_0.txt

No suitable GPU found for rednote-hilab/dots.vlm1.inst | 3256.18 GB VRAM requirement

Traceback (most recent call last):

File "/tmp/sentence-transformers_all-MiniLM-L6-v2_0ymyt2o.py", line 16, in <module>

from sentence_transformers import SentenceTransformer

ModuleNotFoundError: No module named 'sentence_transformers'

No suitable GPU found for skt/A.X-3.1 | 83.95 GB VRAM requirement

Traceback (most recent call last):

File "/tmp/skt_A.X-4.0-VL-Light_0IkvuFO.py", line 13, in <module>

pipe = pipeline("image-text-to-text", model="skt/A.X-4.0-VL-Light", trust_remote_code=True)

File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/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/f7387fa1610e269a/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"

)

ValueError: Could not load model skt/A.X-4.0-VL-Light with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:

while loading with AutoModelForImageTextToText, an error is thrown:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 292, in infer_framework_load_model

model = model_class.from_pretrained(model, **kwargs)

File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.skt.A.X-4.0-VL-Light.98fd0c5d90cb38ff8b91493d5b3e86334d55a533.configuration_ax4vl.AX4VLConfig'> for this kind of AutoModel: AutoModelForImageTextToText.

Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model

model = model_class.from_pretrained(model, **fp32_kwargs)

File "/tmp/.cache/uv/environments-v2/f7387fa1610e269a/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained

raise ValueError(

...<2 lines>...

)

ValueError: Unrecognized configuration class <class 'transformers_modules.skt.A.X-4.0-VL-Light.98fd0c5d90cb38ff8b91493d5b3e86334d55a533.configuration_ax4vl.AX4VLConfig'> for this kind of AutoModel: AutoModelForImageTextToText.

Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.

Everything was good in skt_A.X-4.0-VL-Light_1.txt

No suitable GPU found for stepfun-ai/step3 | 777.21 GB VRAM requirement

Traceback (most recent call last):

File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/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-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__

raise KeyError(key)