Datasets:

---

prompterminal

/

gpt2-compressed-weights

like 0

• "mpo_layers.MPOLayer",
• "transformers.models.gpt2.modeling_gpt2.GPT2Block",
• "transformers.activations.NewGELUActivation",
• "transformers.models.gpt2.modeling_gpt2.GPT2MLP",
• "transformers.pytorch_utils.Conv1D",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.generation.configuration_utils.GenerationConfig",
• "torch.float32",
• "__main__.Conv1DToMPO",
• "transformers.models.gpt2.modeling_gpt2.GPT2Attention",
• "transformers.models.gpt2.configuration_gpt2.GPT2Config",
• "torch._utils._rebuild_tensor_v2",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.gpt2.modeling_gpt2.GPT2Model",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "transformers.models.gpt2.modeling_gpt2.GPT2LMHeadModel",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.sparse.Embedding"

How to fix it?