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README.md
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---
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datasets:
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- wikitext-2-v1
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language:
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- en
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library_name: transformers
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metrics: crossentropy
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---
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datasets:
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- wikitext-2-v1
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- yizhongw/self_instruct
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language:
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- en
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library_name: transformers
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metrics: crossentropy
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---
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1. download the pth file
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2. load the state dict
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```python
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from transformers import T5Tokenizer
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from transformers.models.llama import LlamaConfig
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config = LlamaConfig.from_pretrained(f"hpcaitech/openmoe-base")
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model = OpenMoeForCausalLM(config)
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ckpt = torch.load("openmoe_base_yizhongw_super_natural_instruction_generation.pth")
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state_dict = {}
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for key, value in ckpt.items():
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if key.startswith("module."):
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state_dict[key[7:]] = value
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else:
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state_dict[key] = value
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model.load_state_dict(state_dict)
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```
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