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--- |
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license: apache-2.0 |
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language: |
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- zh |
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widget: |
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- text: "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: 你好，請問你可以幫我寫一封推薦信嗎？ ASSISTANT:" |
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library_name: transformers |
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pipeline_tag: text-generation |
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extra_gated_heading: Acknowledge license to accept the repository. |
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extra_gated_prompt: Please contact the author for access. |
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extra_gated_button_content: Acknowledge license 同意以上內容 |
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extra_gated_fields: |
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Name: text |
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Mail: text |
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Organization: text |
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Country: text |
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Any utilization of the Taiwan LLM repository mandates the explicit acknowledgment and attribution to the original author: checkbox |
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使用Taiwan LLM必須明確地承認和歸功於優必達株式會社 Ubitus 以及原始作者: checkbox |
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--- |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5df9c78eda6d0311fd3d541f/CmusIT5OlSXvFrbTJ7l-C.png" alt="Taiwan LLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/> |
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# 🌟 Checkout [Taiwan-LLM Demo Chat-UI](http://www.twllm.com) 🌟 |
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# Model Card for Taiwan LLM 7B v2.0 base |
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Taiwan LLM is an advanced language model tailored for Traditional Chinese, focusing on the linguistic and cultural contexts of Taiwan. |
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Developed from a large base model, it's enriched with diverse Taiwanese textual sources and refined through Supervised Fine-Tuning. |
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This model excels in language understanding and generation, aligning closely with Taiwan's cultural nuances. |
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It demonstrates improved performance on various benchmarks like TC-Eval, showcasing its contextual comprehension and cultural relevance. |
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For detailed insights into Taiwan LLM's development and features, refer to our [technical report](https://github.com/MiuLab/Taiwan-LLaMa/blob/main/twllm_paper.pdf). |
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## Model description |
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- **Model type:** A 7B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets. |
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- **Language(s) (NLP):** Primarily Traditional Chinese (zh-tw) |
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- **Finetuned from model:** [meta-llama/Llama-2-7b-hf](https://huggingface.co/yentinglin/meta-llama/Llama-2-7b-hf) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/MiuLab/Taiwan-LLaMa |
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- **Demo:** https://twllm.com/ |
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## Performance |
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## Intended uses |
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You should fine-tuned this model for instruction-following / chat application. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 5.0 |
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## Citation |
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If you find Taiwan LLM is useful in your work, please cite it with: |
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``` |
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@inproceedings{lin-chen-2023-llm, |
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title = "{LLM}-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models", |
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author = "Lin, Yen-Ting and Chen, Yun-Nung", |
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booktitle = "Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023)", |
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month = jul, |
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year = "2023", |
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address = "Toronto, Canada", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2023.nlp4convai-1.5", |
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pages = "47--58" |
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} |
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@misc{taiwanllama, |
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author={Lin, Yen-Ting and Chen, Yun-Nung}, |
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title={Language Models for Taiwanese Culture}, |
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year={2023}, |
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url={https://github.com/MiuLab/Taiwan-LLaMa}, |
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note={Code and models available at https://github.com/MiuLab/Taiwan-LLaMa}, |
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} |
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``` |
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# Acknowledgement |
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Taiwan LLM v2 is conducted in collaboration with [Ubitus K.K.](http://ubitus.net). Ubitus provides valuable compute resources for the project. |
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