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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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<!-- Provide a quick summary of what the model is/does. -->
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## Code to generate
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```py
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from transformers import AutoConfig, LlamaForCausalLM, AutoTokenizer
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import torch
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model_id='meta-llama/Llama-3.2-1B-Instruct'
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config = AutoConfig.from_pretrained(
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model_id,
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head_dim=8,
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hidden_size=32,
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num_attention_heads=4,
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num_key_value_heads=2,
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num_hidden_layers=2,
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intermediate_size=64,
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)
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model = LlamaForCausalLM(config)
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torch.manual_seed(0) # Set for reproducibility
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for name, param in model.named_parameters():
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param.data = torch.randn_like(param)
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print(model.num_parameters()) # 4122784
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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```
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## Model Details
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