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README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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# Model Card for Model ID
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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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```python
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import torch
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from transformers import HeliumConfig, HeliumForCausalLM, AutoTokenizer
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model_id = 'kyutai/helium-1-preview-2b'
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config = HeliumConfig.from_pretrained(
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model_id,
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hidden_size=32,
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intermediate_size=64,
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num_attention_heads=4,
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num_hidden_layers=2,
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num_key_value_heads=4,
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)
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# Create model and randomize all weights
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model = HeliumForCausalLM(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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tokenizer = AutoTokenizer.from_pretrained(model_id)
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```
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## Model Details
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