|
--- |
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license: llama2 |
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datasets: |
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- theblackcat102/evol-codealpaca-v1 |
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- Pasta009/Instruction-Fusion-Code-v1 |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: text-generation |
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tags: |
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- code |
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--- |
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Trained with data generated by the Instruction Fusion method. |
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- **Base Model:** CodeLlama-Python-34b |
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- **Seed Instructions:** theblackcat102/evol-codealpaca-v1 |
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- **Repository:** https://github.com/XpastaX/Instruction-Fusion |
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- **Paper:** https://arxiv.org/abs/2312.15692 |
|
|
|
**Dataset:** |
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- theblackcat102/evol-codealpaca-v1: Python instructions Only |
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- Pasta009/Instruction-Fusion-Code-v1: Python instructions Only (first 50k) |
|
|
|
**BibTeX:** |
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``` |
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@misc{guo2024instruction, |
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title={Instruction Fusion: Advancing Prompt Evolution through Hybridization}, |
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author={Weidong Guo and Jiuding Yang and Kaitong Yang and Xiangyang Li and Zhuwei Rao and Yu Xu and Di Niu}, |
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year={2024}, |
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eprint={2312.15692}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.AI} |
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} |
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``` |
