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Upload MiniMaxAI_MiniMax-M2.1_0.txt with huggingface_hub

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  1. MiniMaxAI_MiniMax-M2.1_0.txt +42 -0
MiniMaxAI_MiniMax-M2.1_0.txt ADDED
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+ ```CODE:
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2.1", trust_remote_code=True)
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+ messages = [
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+ {"role": "user", "content": "Who are you?"},
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+ ]
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+ pipe(messages)
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+ ```
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+
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+ ERROR:
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+ Traceback (most recent call last):
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+ File "/tmp/MiniMaxAI_MiniMax-M2.1_0EtBIoY.py", line 26, in <module>
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+ pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2.1", trust_remote_code=True)
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+ File "/tmp/.cache/uv/environments-v2/c677dce89777868a/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 836, in pipeline
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+ model = load_model(
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+ adapter_path if adapter_path is not None else model,
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+ ...<4 lines>...
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+ **model_kwargs,
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+ )
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+ File "/tmp/.cache/uv/environments-v2/c677dce89777868a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 232, in load_model
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+ model = model_class.from_pretrained(model, **kwargs)
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+ File "/tmp/.cache/uv/environments-v2/c677dce89777868a/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 365, in from_pretrained
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+ return model_class.from_pretrained(
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
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+ pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs
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+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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+ )
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+ ^
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+ File "/tmp/.cache/uv/environments-v2/c677dce89777868a/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4072, in from_pretrained
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+ model = cls(config, *model_args, **model_kwargs)
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+ File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 590, in __init__
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+ self.model = MiniMaxM2Model(config)
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+ ~~~~~~~~~~~~~~^^^^^^^^
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+ File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 429, in __init__
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+ self.rotary_emb = MiniMaxM2RotaryEmbedding(config=config)
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+ ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
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+ File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 376, in __init__
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+ self.rope_init_fn = ROPE_INIT_FUNCTIONS[self.rope_type]
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+ ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
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+ KeyError: 'default'