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README.md
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license: apache-2.0
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---
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license: apache-2.0
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---
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```python
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from transformers import (
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AutoTokenizer,
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SmolLM3Config,
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SmolLM3ForCausalLM,
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)
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def create_tiny_random_smollm3():
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config = SmolLM3Config(
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vocab_size=128256,
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hidden_size=32,
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intermediate_size=64,
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num_hidden_layers=2,
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num_attention_heads=4,
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num_key_value_heads=2,
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max_position_embeddings=256,
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hidden_act="silu",
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rms_norm_eps=1e-6,
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tie_word_embeddings=True,
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use_cache=True,
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attention_bias=False,
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mlp_bias=False,
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use_sliding_window=False,
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pad_token_id=128004,
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bos_token_id=128000,
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eos_token_id=128012,
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)
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model = SmolLM3ForCausalLM(config)
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print(f"Model parameters: {sum(p.numel() for p in model.parameters()):,}")
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# Use SmolLM3-3B tokenizer
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tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM3-3B")
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output_dir = "./tiny-random-smollm3"
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model.save_pretrained(output_dir)
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tokenizer.save_pretrained(output_dir)
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print(f"Saved to {output_dir}")
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if __name__ == "__main__":
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create_tiny_random_smollm3()
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```
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