DeepSeek R1 Distill Qwen2.5 Bakeneko 32B GGUF (rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-gguf)

Overview

This model is a quantized model for rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b using llama.cpp. It is compatible with many llama.cpp based apps.

Size	Continual Pre-Training	Instruction-Tuning	DeepSeek-R1-Distilled
32B	Qwen2.5 Bakeneko 32B [HF]	Qwen2.5 Bakeneko 32B Instruct [HF][AWQ][GGUF][GPTQ int8][GPTQ int4]	DeepSeek R1 Distill Qwen2.5 Bakeneko 32B [HF][AWQ][GGUF][GPTQ int8][GPTQ int4]

See rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b for details about model architecture and data.

• Contributors
  • Toshiaki Wakatsuki
  • Xinqi Chen
  • Kei Sawada

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How to cite

@misc{rinna-deepseek-r1-distill-qwen2.5-bakeneko-32b-gguf,
    title = {rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-gguf},
    author = {Wakatsuki, Toshiaki and Chen, Xinqi and Sawada, Kei},
    url = {https://huggingface.co/rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-gguf}
}

@inproceedings{sawada2024release,
    title = {Release of Pre-Trained Models for the {J}apanese Language},
    author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
    month = {5},
    year = {2024},
    pages = {13898--13905},
    url = {https://aclanthology.org/2024.lrec-main.1213},
    note = {\url{https://arxiv.org/abs/2404.01657}}
}

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References

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}

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    year = {2025},
    eprint = {2501.12948},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL},
    url = {https://arxiv.org/abs/2501.12948}, 
}

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}

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License

The Apache License, Version 2.0