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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.
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During handling of the above exception, another exception occurred:
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/5826d58e4a076461/lib/python3.13/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model
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model = model_class.from_pretrained(model, **fp32_kwargs)
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File "/tmp/.cache/uv/environments-v2/5826d58e4a076461/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 603, in from_pretrained
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raise ValueError(
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...<2 lines>...
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)
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ValueError: Unrecognized configuration class <class 'transformers_modules.kakaocorp.kanana-1.5-v-3b-instruct.5dc44a339df77ebc6107411826db82820ef0f36a.configuration.KananaVConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
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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.
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Traceback (most recent call last):
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File "/tmp/kakaocorp_kanana-1.5-v-3b-instruct_1M9iNX0.py", line 12, in <module>
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model = AutoModelForVision2Seq.from_pretrained("kakaocorp/kanana-1.5-v-3b-instruct", trust_remote_code=True, torch_dtype="auto"),
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/510ad75317545b08/lib/python3.13/site-packages/transformers/models/auto/modeling_auto.py", line 2165, in from_pretrained
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return super().from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/510ad75317545b08/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 582, in from_pretrained
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model_class = get_class_from_dynamic_module(
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class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
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)
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File "/tmp/.cache/uv/environments-v2/510ad75317545b08/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 570, in get_class_from_dynamic_module
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final_module = get_cached_module_file(
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repo_id,
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...<8 lines>...
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repo_type=repo_type,
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)
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File "/tmp/.cache/uv/environments-v2/510ad75317545b08/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 393, in get_cached_module_file
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modules_needed = check_imports(resolved_module_file)
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File "/tmp/.cache/uv/environments-v2/510ad75317545b08/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 225, in check_imports
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raise ImportError(
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...<2 lines>...
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)
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ImportError: This modeling file requires the following packages that were not found in your environment: einops, timm. Run `pip install einops timm`
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Traceback (most recent call last):
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File "/tmp/lmms-lab_LLaVA-OneVision-1.5-8B-Instruct_08WPyxp.py", line 16, in <module>
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pipe = pipeline("image-text-to-text", model="lmms-lab/LLaVA-OneVision-1.5-8B-Instruct", trust_remote_code=True)
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1028, in pipeline
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framework, model = infer_framework_load_model(
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~~~~~~~~~~~~~~~~~~~~~~~~~~^
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adapter_path if adapter_path is not None else model,
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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...<5 lines>...
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**model_kwargs,
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^^^^^^^^^^^^^^^
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)
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^
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
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raise ValueError(
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f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
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)
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ValueError: Could not load model lmms-lab/LLaVA-OneVision-1.5-8B-Instruct with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:
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while loading with AutoModelForImageTextToText, an error is thrown:
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
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model = model_class.from_pretrained(model, **kwargs)
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
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raise ValueError(
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...<2 lines>...
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)
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ValueError: Unrecognized configuration class <class 'transformers_modules.lmms-lab.LLaVA-OneVision-1.5-8B-Instruct.ad0b3fcb0ae3453201072ab280550f3fcf0e806b.configuration_llavaonevision1_5.Llavaonevision1_5Config'> for this kind of AutoModel: AutoModelForImageTextToText.
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Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
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During handling of the above exception, another exception occurred:
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
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model = model_class.from_pretrained(model, **fp32_kwargs)
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File "/tmp/.cache/uv/environments-v2/6bec991289c4b833/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
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raise ValueError(
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...<2 lines>...
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)
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ValueError: Unrecognized configuration class <class 'transformers_modules.lmms-lab.LLaVA-OneVision-1.5-8B-Instruct.ad0b3fcb0ae3453201072ab280550f3fcf0e806b.configuration_llavaonevision1_5.Llavaonevision1_5Config'> for this kind of AutoModel: AutoModelForImageTextToText.
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Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
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Everything was good in lmms-lab_LLaVA-OneVision-1.5-8B-Instruct_1.txt
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No suitable GPU found for meituan-longcat/LongCat-Flash-Chat-FP8 | 2721.14 GB VRAM requirement
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No suitable GPU found for meituan-longcat/LongCat-Flash-Chat | 1360.52 GB VRAM requirement
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No suitable GPU found for meituan-longcat/LongCat-Flash-Thinking | 1360.52 GB VRAM requirement
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Everything was good in meta-llama_Llama-3.2-3B-Instruct_0.txt
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Everything was good in meta-llama_Llama-3.2-3B-Instruct_1.txt
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Everything was good in meta-llama_Meta-Llama-3-8B-Instruct_0.txt
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Traceback (most recent call last):
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File "/tmp/microsoft_Phi-4-mini-flash-reasoning_0WYtVxq.py", line 13, in <module>
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pipe = pipeline("text-generation", model="microsoft/Phi-4-mini-flash-reasoning", trust_remote_code=True)
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File "/tmp/.cache/uv/environments-v2/4926ae9e86f11c3f/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1008, in pipeline
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framework, model = infer_framework_load_model(
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~~~~~~~~~~~~~~~~~~~~~~~~~~^
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adapter_path if adapter_path is not None else model,
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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...<5 lines>...
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