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brm-numina-qwen2.5math-7B-base-lr5e-7constant-n4

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• "tokenizers.AddedToken",
• "torch.ByteStorage",
• "tokenizers.models.Model",
• "transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast",
• "torch._C.Generator",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "tokenizers.Tokenizer",
• "_codecs.encode",
• "collections.OrderedDict",
• "torch.utils.data.dataloader.DataLoader",
• "verl.utils.dataset.rl_dataset.collate_fn",
• "verl.utils.dataset.rl_dataset.RLHFDataset",
• "torch.utils.data.sampler.BatchSampler",
• "torch.utils.data.sampler.RandomSampler"

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.device",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.FloatStorage",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.Size",
• "torch.distributed._tensor.api.DTensor",
• "torch._tensor._rebuild_from_type_v2",
• "torch.IntStorage",
• "collections.OrderedDict",
• "torch.serialization._get_layout"

How to fix it?

• "torch._tensor._rebuild_from_type_v2",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.FloatStorage",
• "torch.distributed._tensor.api.DTensor",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.IntStorage",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.Size",
• "torch.serialization._get_layout",
• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.float32",
• "collections.OrderedDict",
• "torch.distributed._tensor.placement_types.TensorMeta"

How to fix it?

• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.device",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.FloatStorage",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.Size",
• "torch.distributed._tensor.api.DTensor",
• "torch._tensor._rebuild_from_type_v2",
• "torch.IntStorage",
• "collections.OrderedDict",
• "torch.serialization._get_layout"

How to fix it?

• "torch.distributed._tensor.placement_types.DTensorSpec",
• "torch.device",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "torch.distributed._tensor.placement_types.Shard",
• "torch.distributed._tensor.placement_types.TensorMeta",
• "torch.FloatStorage",
• "torch.distributed.device_mesh.DeviceMesh",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.Size",
• "torch.distributed._tensor.api.DTensor",
• "torch._tensor._rebuild_from_type_v2",
• "torch.IntStorage",
• "collections.OrderedDict",
• "torch.serialization._get_layout"

How to fix it?