LLM360

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K2-Think-V1.0.2B

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LLM360 197

• "collections.OrderedDict",
• "numpy.dtype",
• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "torch._utils._rebuild_tensor_v2",
• "numpy.ndarray",
• "torch.ByteStorage"

How to fix it?

• "collections.OrderedDict",
• "numpy.dtype",
• "_codecs.encode",
• "numpy.core.multiarray._reconstruct",
• "torch._utils._rebuild_tensor_v2",
• "numpy.ndarray",
• "torch.ByteStorage"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.ByteStorage",
• "_codecs.encode",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?