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README.md
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# yujiepan/opt-tiny-2layers-random
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This model is **randomly initialized**, using the config from [https://huggingface.co/facebook/opt-30b]
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```python
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config.ffn_dim = 32
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config.hidden_size = 8
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config.num_hidden_layers = 2
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config.word_embed_proj_dim = 8
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model = transformers.AutoModelForCausalLM.from_config(config, torch_dtype=torch.
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model.save_pretrained(save_path)
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tokenizer = transformers.AutoTokenizer.from_pretrained('facebook/opt-30b')
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tokenizer.save_pretrained(save_path)
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ovmodel = OVModelForCausalLM.from_pretrained(save_path, export=True)
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ovmodel = ovmodel.half()
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ovmodel.save_pretrained(save_path)
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os.system(f'ls -alh {save_path}')
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# yujiepan/opt-tiny-2layers-random
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This model is **randomly initialized**, using the config from [https://huggingface.co/facebook/opt-30b] but the size is smaller.
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Note the model is in float32.
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```python
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config.ffn_dim = 32
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config.hidden_size = 8
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config.num_hidden_layers = 2
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config.word_embed_proj_dim = 8
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model = transformers.AutoModelForCausalLM.from_config(config, torch_dtype=torch.float32)
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model.save_pretrained(save_path)
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tokenizer = transformers.AutoTokenizer.from_pretrained('facebook/opt-30b')
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tokenizer.save_pretrained(save_path)
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ovmodel = OVModelForCausalLM.from_pretrained(save_path, export=True)
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ovmodel.save_pretrained(save_path)
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os.system(f'ls -alh {save_path}')
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