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README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+language:
+- ja
+pipeline_tag: text-generation
+library_name: transformers
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+---
+# TinySwallow-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)
+
+**TinySwallow-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).
+ 
+## Model Details
+
+- **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/
+
+## Uses
+This model is provided for research and development purposes only and should be considered as an experimental prototype. 
+It is not intended for commercial use or deployment in mission-critical environments. 
+Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed. 
+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. 
+Users must fully understand the risks associated with the use of this model and use it at their own discretion.
+
+
+## Acknowledgement
+
+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},
+      year          = {2025},
+      eprint        = {2501.16937},
+      archivePrefix = {arXiv},
+      primaryClass  = {cs.LG},
+      url           = {https://arxiv.org/abs/2501.16937}
+}
+```

added_tokens.json

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config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "max_position_embeddings": 32768,
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+  "model_type": "qwen2",
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+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.41.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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