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README.md
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# Model Card for Model ID
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# Model Card for Model ID
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This model use for debug, the parameter is random.
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It's small only '~64MB' memory size, that is efficent for you to download and debug.
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`llama-3-debug` model config modified as follow
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```python
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config.intermediate_size = 128
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config.hidden_size = 64
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config.num_attention_heads = 2
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config.num_key_value_heads = 2
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config.num_hidden_layers = 1
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```
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If you want to load it by this code
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = 'xiaodongguaAIGC/llama-3-debug'
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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print(model)
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print(tokenizer)
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```
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