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@@ -24,7 +24,7 @@ tags:
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  *A powerful 20 billion parameter language model for advanced natural language processing*
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- [πŸ€— Model Card](https://huggingface.co/your-username/Trouter-20B) | [πŸ“– Documentation](./USAGE_GUIDE.md) | [πŸ’¬ Discussions](https://huggingface.co/your-username/Trouter-20B/discussions) | [πŸ› Issues](https://github.com/your-username/Trouter-20B/issues)
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  </div>
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@@ -74,7 +74,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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  # Load model and tokenizer
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- model_id = "your-username/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,
@@ -266,10 +266,10 @@ If you use Trouter-20B in your research or applications, please cite:
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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={Your Name/Organization},
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  year={2025},
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  month={10},
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- url={https://huggingface.co/your-username/Trouter-20B},
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  version={1.0},
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  license={Apache-2.0}
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  }
@@ -284,17 +284,6 @@ We thank the open-source community and the following projects that made this wor
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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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- ## 🀝 Contributing
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-
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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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-
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- ## πŸ“ž Contact & Support
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-
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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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  ---
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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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+ [πŸ€— Model Card](https://huggingface.co/Trouter-Library/Trouter-20B) | [πŸ“– 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">