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Improve language tag

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Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

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  1. README.md +80 -68
README.md CHANGED
@@ -1,69 +1,81 @@
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- ---
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- license: apache-2.0
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- language:
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- - ja
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- pipeline_tag: text-generation
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- library_name: transformers
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- base_model:
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- - Qwen/Qwen2.5-1.5B-Instruct
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- ---
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- # TinySwallow-1.5B
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-
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- πŸ€— [Models](https://huggingface.co/SakanaAI) | πŸ“š [Paper](https://arxiv.org/abs/2501.16937) | πŸ“ [Blog](https://sakana.ai/taid-jp/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
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-
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- **TinySwallow-1.5B** is a Japanese compact language model created through *TAID (Temporally Adaptive Interpolated Distillation)*, our new knowledge distillation method.
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- We used [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) as the teacher model and [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as the student model.
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- The model has been further pre-trained on Japanese text data to enhance its Japanese language capabilities.
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-
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- If you are looking for an instruction-following model, check [TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct).
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-
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- ## Model Details
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-
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- - **Developed by:** [Sakana AI](https://sakana.ai/) and [Swallow Team](https://swallow-llm.github.io/index.en.html)
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- - **Model type:** Autoregressive Language Model
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- - **Language(s):** Japanese
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- - **License:** [Apache License, Version 2.0](./LICENSE)
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- - **Paper:** https://arxiv.org/abs/2501.16937
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- - **Blog:** https://sakana.ai/taid-jp/
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-
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- ## Uses
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- This model is provided for research and development purposes only and should be considered as an experimental prototype.
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- It is not intended for commercial use or deployment in mission-critical environments.
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- Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed.
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- Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained.
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- Users must fully understand the risks associated with the use of this model and use it at their own discretion.
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-
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-
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- ## Acknowledgement
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-
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- We would like to thank the developers of the source models for their contributions and for making their work available.
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-
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-
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- ## Authors
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-
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- * [Sakana AI](https://sakana.ai/)
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- * [Makoto Shing](https://huggingface.co/mkshing)
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- * [Taishi Nakamura](https://x.com/Setuna7777_2)
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- * [Kou Misaki](https://huggingface.co/takkyu2)
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- * [Takuya Akiba](https://huggingface.co/iwiwi)
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- * [Swallow Team](https://swallow-llm.github.io/index.en.html)
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- * [Naoki Okazaki](https://www.chokkan.org/index.ja.html)
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- * [Youmi Ma](https://www.nlp.c.titech.ac.jp/member/youmi.en.html)
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- * [Kakeru Hattori](https://aya-se.vercel.app/)
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- * [Kazuki Fujii](https://x.com/okoge_kaz)
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- * [Sakae Mizuki](https://s-mizuki-nlp.github.io/)
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-
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-
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- ## Citation
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-
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- ```bibtex
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- @misc{sakana2025taid,
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- title = {TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models},
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- author. = {Makoto Shing and Kou Misaki and Han Bao and Sho Yokoi and Takuya Akiba},
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- year = {2025},
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- eprint = {2501.16937},
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- archivePrefix = {arXiv},
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- primaryClass = {cs.LG},
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- url = {https://arxiv.org/abs/2501.16937}
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- }
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ base_model:
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+ - Qwen/Qwen2.5-1.5B-Instruct
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+ ---
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+ # TinySwallow-1.5B
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+
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+ πŸ€— [Models](https://huggingface.co/SakanaAI) | πŸ“š [Paper](https://arxiv.org/abs/2501.16937) | πŸ“ [Blog](https://sakana.ai/taid-jp/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
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+
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+ **TinySwallow-1.5B** is a Japanese compact language model created through *TAID (Temporally Adaptive Interpolated Distillation)*, our new knowledge distillation method.
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+ We used [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) as the teacher model and [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as the student model.
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+ The model has been further pre-trained on Japanese text data to enhance its Japanese language capabilities.
29
+
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+ If you are looking for an instruction-following model, check [TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct).
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+
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+ ## Model Details
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+
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+ - **Developed by:** [Sakana AI](https://sakana.ai/) and [Swallow Team](https://swallow-llm.github.io/index.en.html)
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+ - **Model type:** Autoregressive Language Model
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+ - **Language(s):** Japanese
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+ - **License:** [Apache License, Version 2.0](./LICENSE)
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+ - **Paper:** https://arxiv.org/abs/2501.16937
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+ - **Blog:** https://sakana.ai/taid-jp/
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+
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+ ## Uses
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+ This model is provided for research and development purposes only and should be considered as an experimental prototype.
43
+ It is not intended for commercial use or deployment in mission-critical environments.
44
+ Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed.
45
+ Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained.
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+ Users must fully understand the risks associated with the use of this model and use it at their own discretion.
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+
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+
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+ ## Acknowledgement
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+
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+ We would like to thank the developers of the source models for their contributions and for making their work available.
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+
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+
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+ ## Authors
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+
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+ * [Sakana AI](https://sakana.ai/)
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+ * [Makoto Shing](https://huggingface.co/mkshing)
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+ * [Taishi Nakamura](https://x.com/Setuna7777_2)
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+ * [Kou Misaki](https://huggingface.co/takkyu2)
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+ * [Takuya Akiba](https://huggingface.co/iwiwi)
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+ * [Swallow Team](https://swallow-llm.github.io/index.en.html)
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+ * [Naoki Okazaki](https://www.chokkan.org/index.ja.html)
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+ * [Youmi Ma](https://www.nlp.c.titech.ac.jp/member/youmi.en.html)
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+ * [Kakeru Hattori](https://aya-se.vercel.app/)
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+ * [Kazuki Fujii](https://x.com/okoge_kaz)
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+ * [Sakae Mizuki](https://s-mizuki-nlp.github.io/)
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+
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{sakana2025taid,
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+ title = {TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models},
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+ author. = {Makoto Shing and Kou Misaki and Han Bao and Sho Yokoi and Takuya Akiba},
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+ year = {2025},
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+ eprint = {2501.16937},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.LG},
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+ url = {https://arxiv.org/abs/2501.16937}
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+ }
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  ```