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@@ -150,15 +150,6 @@ for step in range(100): # max tokens
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  print(tokenizer.decode(generated_tokens, skip_special_tokens=True))
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  ```
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- ## Model Architecture
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-
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- - **Total Parameters**: 8B
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- - **Active Parameters**: ~1B per token
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- - **Experts**: 32 total, 4 active per token
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- - **Hidden Size**: 2048
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- - **Layers**: 24 (hybrid conv + attention)
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- - **Context Length**: 128K tokens
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-
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  ## License
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  This model is released under the [LFM 1.0 License](LICENSE).
 
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  print(tokenizer.decode(generated_tokens, skip_special_tokens=True))
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  ```
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  ## License
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  This model is released under the [LFM 1.0 License](LICENSE).