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GEMMA_TERMS_OF_USE

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+Gemma Terms of Use 
+
+Last modified: April 1, 2024
+
+By using, reproducing, modifying, distributing, performing or displaying any portion or element of Gemma, Model Derivatives including via any Hosted Service, (each as defined below) (collectively, the "Gemma Services") or otherwise accepting the terms of this Agreement, you agree to be bound by this Agreement.
+
+Section 1: DEFINITIONS
+1.1 Definitions
+(a) "Agreement" or "Gemma Terms of Use" means these terms and conditions that govern the use, reproduction, Distribution or modification of the Gemma Services and any terms and conditions incorporated by reference.
+
+(b) "Distribution" or "Distribute" means any transmission, publication, or other sharing of Gemma or Model Derivatives to a third party, including by providing or making Gemma or its functionality available as a hosted service via API, web access, or any other electronic or remote means ("Hosted Service").
+
+(c) "Gemma" means the set of machine learning language models, trained model weights and parameters identified at ai.google.dev/gemma, regardless of the source that you obtained it from.
+
+(d) "Google" means Google LLC.
+
+(e) "Model Derivatives" means all (i) modifications to Gemma, (ii) works based on Gemma, or (iii) any other machine learning model which is created by transfer of patterns of the weights, parameters, operations, or Output of Gemma, to that model in order to cause that model to perform similarly to Gemma, including distillation methods that use intermediate data representations or methods based on the generation of synthetic data Outputs by Gemma for training that model. For clarity, Outputs are not deemed Model Derivatives.
+
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+1.2
+As used in this Agreement, "including" means "including without limitation".
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+Section 2: ELIGIBILITY AND USAGE
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+
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+You may use, reproduce, modify, Distribute, perform or display any of the Gemma Services only in accordance with the terms of this Agreement, and must not violate (or encourage or permit anyone else to violate) any term of this Agreement.
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+Section 3: DISTRIBUTION AND RESTRICTIONS
+3.1 Distribution and Redistribution
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+
+1. You must include the use restrictions referenced in Section 3.2 as an enforceable provision in any agreement (e.g., license agreement, terms of use, etc.) governing the use and/or distribution of Gemma or Model Derivatives and you must provide notice to subsequent users you Distribute to that Gemma or Model Derivatives are subject to the use restrictions in Section 3.2.
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+3.2 Use Restrictions
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+The term of this Agreement will commence upon your acceptance of this Agreement (including acceptance by your use, modification, or Distribution, reproduction, performance or display of any portion or element of the Gemma Services) and will continue in full force and effect until terminated in accordance with the terms of this Agreement. Google may terminate this Agreement if you are in breach of any term of this Agreement. Upon termination of this Agreement, you must delete and cease use and Distribution of all copies of Gemma and Model Derivatives in your possession or control. Sections 1, 2.1, 3.3, 4.2 to 4.9 shall survive the termination of this Agreement.
+
+4.6 Governing Law and Jurisdiction
+This Agreement will be governed by the laws of the State of California without regard to choice of law principles. The UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The state and federal courts of Santa Clara County, California shall have exclusive jurisdiction of any dispute arising out of this Agreement.
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+4.9 No Waiver
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Notice

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+Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms

README.md

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+---
+license: apache-2.0
+language:
+- ja
+pipeline_tag: text-generation
+library_name: transformers
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+datasets:
+- tokyotech-llm/lmsys-chat-1m-synth
+- tokyotech-llm/swallow-magpie-ultra-v0.1
+- tokyotech-llm/swallow-swallow-gemma-magpie-v0.1
+---
+# TinySwallow-1.5B-Instruct-GGUF
+
+🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](http://arxiv.org/abs/2501.16937) | 📝 [Blog](https://sakana.ai/taid-jp/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
+
+This is the [TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct) model in GGUF format. 
+
+[TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct) is an instruction-tuned version of [TinySwallow-1.5B](https://huggingface.co/SakanaAI/TinySwallow-1.5B), 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 instruction-tuned to enhance its ability to follow instructions and engage in conversations in Japanese.
+
+
+## Usage
+Check out [our GitHub repository](https://github.com/SakanaAI/TinySwallow-ChatUI/blob/main/docs/iphone.md) to quickly run it on your iPhone.
+
+## Model Details
+
+- **Model type:** Autoregressive Language Model
+- **Language(s):** Japanese
+- **Paper:** http://arxiv.org/abs/2501.16937
+- **Blog:** https://sakana.ai/taid-jp/
+- **Training Datasets:**
+  - [Gemma-2-LMSYS-Chat-1M-Synth](https://huggingface.co/datasets/tokyotech-llm/lmsys-chat-1m-synth/blob/main/README_gemma.md)
+  - [tokyotech-llm/swallow-magpie-ultra-v0.1](https://huggingface.co/datasets/tokyotech-llm/swallow-magpie-ultra-v0.1)
+  - [tokyotech-llm/swallow-gemma-magpie-v0.1](https://huggingface.co/datasets/tokyotech-llm/swallow-gemma-magpie-v0.1)
+
+## 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/)
+
+## License 
+This model is derived from Qwen ([Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)) and trained on Gemma data ([Gemma Terms](https://ai.google.dev/gemma/terms), [Prohibited Use](https://ai.google.dev/gemma/prohibited_use_policy)). Use (including commercial) is permitted if you comply with both licenses/policies above.
+
+
+## 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           = {http://arxiv.org/abs/2501.16937}
+}
+```

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