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README.md
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*A powerful 20 billion parameter language model for advanced natural language processing*
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[π€ Model Card](https://huggingface.co/
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</div>
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import torch
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# Load model and tokenizer
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model_id = "
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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```bibtex
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@software{trouter20b2025,
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title={Trouter-20B: A 20 Billion Parameter Language Model},
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author={
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year={2025},
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month={10},
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url={https://huggingface.co/
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version={1.0},
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license={Apache-2.0}
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}
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- [LLaMA](https://ai.meta.com/llama/) architecture inspiration
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- [EleutherAI](https://www.eleuther.ai/) for evaluation frameworks
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## π€ Contributing
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We welcome contributions! Please see our contributing guidelines and join the discussion on our Hugging Face page.
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## π Contact & Support
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- **Issues**: [GitHub Issues](https://github.com/your-username/Trouter-20B/issues)
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- **Discussions**: [HuggingFace Discussions](https://huggingface.co/your-username/Trouter-20B/discussions)
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- **Email**: your-email@example.com
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- **Twitter**: [@YourHandle](https://twitter.com/yourhandle)
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---
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<div align="center">
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*A powerful 20 billion parameter language model for advanced natural language processing*
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[π€ Model Card](https://huggingface.co/Trouter-Library/Trouter-20B) | [π Documentation](./USAGE_GUIDE.md)
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</div>
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import torch
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# Load model and tokenizer
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model_id = "Trouter-Library/Trouter-20B"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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```bibtex
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@software{trouter20b2025,
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title={Trouter-20B: A 20 Billion Parameter Language Model},
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author={Trouter-Library},
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year={2025},
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month={10},
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url={https://huggingface.co/Trouter-Library/Trouter-20B},
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version={1.0},
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license={Apache-2.0}
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}
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- [LLaMA](https://ai.meta.com/llama/) architecture inspiration
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- [EleutherAI](https://www.eleuther.ai/) for evaluation frameworks
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---
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<div align="center">
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