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--- |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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license: llama3 |
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model_type: llama |
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--- |
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# 🐟 Llama-3-CycleQD |
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🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2410.14735) | 🐦 [Twitter](https://twitter.com/SakanaAILabs) |
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This collection of agentic Language Models (LLMs) is based on Llama-3-8B-Instruct. |
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**Llama-3-8B-Instruct-CycleQD-CS** is created using the CycleQD method, which leverages: |
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- [SakanaAI/Llama-3-8B-Instruct-DB-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-DB-Expert) |
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- [SakanaAI/Llama-3-8B-Instruct-OS-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-OS-Expert) |
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- [SakanaAI/Llama-3-8B-Instruct-Coding-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-Coding-Expert) |
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Please refer to our [report](https://arxiv.org/abs/2410.14735) for more details. |
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We are grateful to the developers of the following source model and training data: |
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- [Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) |
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- [Agent-FLAN](https://huggingface.co/datasets/internlm/Agent-FLAN) |
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- [Magicoder-Evol-Instruct-110K](https://huggingface.co/datasets/ise-uiuc/Magicoder-Evol-Instruct-110K) |
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- [Magicoder-OSS-Instruct-75K](https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K) |
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<!-- ## Model Index |
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| Model | Link | |
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|---|---| |
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| DB expert | [SakanaAI/Llama-3-8B-Instruct-DB-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-DB-Expert) | |
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| OS expert | [SakanaAI/Llama-3-8B-Instruct-OS-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-OS-Expert) | |
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| Coding Expert | [SakanaAI/Llama-3-8B-Instruct-Coding-Expert](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-Coding-Expert) | |
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| CycleQD | [SakanaAI/Llama-3-8B-Instruct-CycleQD-CS](https://huggingface.co/SakanaAI/Llama-3-8B-Instruct-CycleQD-CS) | |
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--> |
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## Model Details |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [Sakana AI](https://sakana.ai/) |
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- **Model type:** Autoregressive Language Model |
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- **License:** [META LLAMA 3 COMMUNITY LICENSE](https://www.llama.com/llama3/license/) |
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- **Repository:** [SakanaAI/CycleQD](https://github.com/SakanaAI/CycleQD) |
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- **Paper:** https://arxiv.org/abs/2410.14735 |
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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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## Acknowledgement |
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We would like to thank the developers of the source models and training datasets for their contributions and for making their work available. These models are based on results obtained from a project, JPNP20017, subsidized by the New Energy and Industrial Technology Development Organization (NEDO), and built with Meta Llama 3. |
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## Citation |
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```bibtex |
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@article{sakana2024cycleQD, |
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title={Agent Skill Acquisition for Large Language Models via CycleQD}, |
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author={So Kuroki and Taishi Nakamura and Takuya Akiba and Yujin Tang}, |
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year={2024}, |
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eprint={2410.14735}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2410.14735}, |
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} |
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``` |
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