Add a link to SmolSwallow-1.5B-Instruct

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README.md

@@ -7,24 +7,26 @@ library_name: transformers
 base_model:
 - Qwen/Qwen2.5-1.5B-Instruct
 ---
-# TinySwallow-1.5B
+# SmolSwallow-1.5B
 
-🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2501.16937) | 📝 [Blog](https://sakana.ai/taid-jp/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
+🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/TODO) | 📝 [Blog](https://sakana.ai/taid/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
 
-**TinySwallow-1.5B** is a Japanese compact language model created through *TAID (Temporally Adaptive Interpolated Distillation)*, our new knowledge distillation method. 
+**SmolSwallow-1.5B** is a Japanese compact language model created through TAID (Temporally Adaptive Interpolated Distillation), our new knowledge distillation method. 
 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. 
 The model has been further pre-trained on Japanese text data to enhance its Japanese language capabilities.
 
-If you are looking for an instruction-following model, check [TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct).
+If you are looking for an instruction-following model, check [SmolSwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/SmolSwallow-1.5B-Instruct).
  
 ## Model Details
 
+<!-- Provide a longer summary of what this model is. -->
+
 - **Developed by:** [Sakana AI](https://sakana.ai/) and [Swallow Team](https://swallow-llm.github.io/index.en.html)
 - **Model type:** Autoregressive Language Model
 - **Language(s):** Japanese
 - **License:** [Apache License, Version 2.0](./LICENSE)
-- **Paper:** https://arxiv.org/abs/2501.16937
-- **Blog:** https://sakana.ai/taid-jp/
+- **Paper:** https://arxiv.org/abs/TODO
+- **Blog:** https://sakana.ai/taid
 
 ## Uses
 This model is provided for research and development purposes only and should be considered as an experimental prototype. 
@@ -38,32 +40,16 @@ Users must fully understand the risks associated with the use of this model and
 
 We would like to thank the developers of the source models for their contributions and for making their work available. 
 
-
-## Authors
-
-* [Sakana AI](https://sakana.ai/)
-  * [Makoto Shing](https://huggingface.co/mkshing)
-  * [Taishi Nakamura](https://x.com/Setuna7777_2)
-  * [Kou Misaki](https://huggingface.co/takkyu2)
-  * [Takuya Akiba](https://huggingface.co/iwiwi)
-* [Swallow Team](https://swallow-llm.github.io/index.en.html)
-  * [Naoki Okazaki](https://www.chokkan.org/index.ja.html)
-  * [Youmi Ma](https://www.nlp.c.titech.ac.jp/member/youmi.en.html)
-  * [Kakeru Hattori](https://aya-se.vercel.app/)
-  * [Kazuki Fujii](https://x.com/okoge_kaz)
-  * [Sakae Mizuki](https://s-mizuki-nlp.github.io/)
-
-
 ## Citation
 
 ```bibtex
 @misc{sakana2025taid,
       title         = {TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models}, 
-      author.       = {Makoto Shing and Kou Misaki and Han Bao and Sho Yokoi and Takuya Akiba},
+      author.       = {Makoto Shing and Ko Misaki and Han Bao and Sho Yokoi and Takuya Akiba},
       year          = {2025},
-      eprint        = {2501.16937},
+      eprint        = {TODO},
       archivePrefix = {arXiv},
-      primaryClass  = {cs.LG},
-      url           = {https://arxiv.org/abs/2501.16937}
+      primaryClass  = {TODO},
+      url           = {https://arxiv.org/abs/TODO}
 }
 ```

model.safetensors

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