Qwen2.5 Bakeneko 32b Instruct V2 Gguf
這是對rinna/qwen2.5-bakeneko-32b-instruct-v2使用llama.cpp進行量化的版本,兼容多種基於llama.cpp的應用。
下載量 597
發布時間 : 3/16/2025
模型概述
基於Qwen2.5架構的日語對話模型,經過指令調優,適用於日語對話任務。
模型特點
日語優化
專門針對日語進行了持續預訓練和指令調優
GGUF量化
使用llama.cpp進行量化,兼容多種基於llama.cpp的應用
高性能對話
在日語MT-Bench基準測試中表現出色
模型能力
日語文本生成
多輪對話
指令理解
使用案例
對話系統
日語聊天機器人
用於構建日語對話系統
在日語MT-Bench多輪對話測試中獲得8.53分
內容生成
日語內容創作
生成日語文章、故事等內容
🚀 Qwen2.5 Bakeneko 32B Instruct V2 GGUF (rinna/qwen2.5-bakeneko-32b-instruct-v2-gguf)
本項目是一個基於Qwen2.5 Bakeneko 32B Instruct V2
的量化模型,使用llama.cpp
進行量化處理,可兼容眾多基於llama.cpp
的應用程序,為日語相關的文本生成任務提供了高效且實用的解決方案。
🚀 快速開始
本模型是使用 llama.cpp 對 rinna/qwen2.5-bakeneko-32b-instruct-v2 進行量化後的模型,它與許多基於 llama.cpp 的應用程序兼容。
✨ 主要特性
模型類型豐富
屬性 | 詳情 |
---|---|
模型類型 | 包含日語持續預訓練模型、指令調優模型、DeepSeek R1 蒸餾 Qwen2.5 融合推理模型、QwQ 融合推理模型、QwQ Bakeneko 融合指令調優模型等多種類型。 |
訓練數據 | 詳情可查看 rinna/qwen2.5-bakeneko-32b-instruct-v2 。 |
模型列表
模型類型 | 模型名稱 |
---|---|
日語持續預訓練模型 | Qwen2.5 Bakeneko 32B [HF] |
指令調優模型 | Qwen2.5 Bakeneko 32B Instruct [HF][AWQ][GGUF][GPTQ int8][GPTQ int4] |
DeepSeek R1 蒸餾 Qwen2.5 融合推理模型 | DeepSeek R1 Distill Qwen2.5 Bakeneko 32B [HF][AWQ][GGUF][GPTQ int8][GPTQ int4] |
QwQ 融合推理模型 | QwQ Bakeneko 32B [HF][AWQ][GGUF][GPTQ int8][GPTQ int4] |
QwQ Bakeneko 融合指令調優模型 | Qwen2.5 Bakeneko 32B Instruct V2 [HF][AWQ][GGUF][GPTQ int8][GPTQ int4] |
貢獻者與發佈日期
- 貢獻者
- 發佈日期:2025 年 2 月 19 日
📚 詳細文檔
基準測試
模型 | 日語語言模型評估套件 | 日語 MT-Bench(首輪) | 日語 MT-Bench(多輪) |
---|---|---|---|
Qwen/Qwen2.5-32B | 79.46 | - | - |
rinna/qwen2.5-bakeneko-32b | 79.18 | - | - |
Qwen/Qwen2.5-32B-Instruct | 78.29 | 8.13 | 7.54 |
rinna/qwen2.5-bakeneko-32b-instruct | 79.62 | 8.17 | 7.66 |
rinna/qwen2.5-bakeneko-32b-instruct-v2 | 77.92 | 8.86 | 8.53 |
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | 73.51 | 7.39 | 6.88 |
rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b | 77.43 | 8.58 | 8.19 |
Qwen/QwQ-32B | 76.12 | 8.58 | 8.25 |
rinna/qwq-bakeneko-32b | 78.31 | 8.81 | 8.52 |
詳細的基準測試結果請參考 rinna 的語言模型基準測試頁面(表 20250319)。
引用方式
@misc{rinna-qwen2.5-bakeneko-32b-instruct-v2-gguf,
title = {rinna/qwen2.5-bakeneko-32b-instruct-v2-gguf},
author = {Wakatsuki, Toshiaki and Chen, Xinqi and Sawada, Kei},
url = {https://huggingface.co/rinna/qwen2.5-bakeneko-32b-instruct-v2-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}}
}
參考文獻
@article{qwen2.5,
title = {Qwen2.5 Technical Report},
author = {An Yang and Baosong Yang and Beichen Zhang and Binyuan Hui and Bo Zheng and Bowen Yu and Chengyuan Li and Dayiheng Liu and Fei Huang and Haoran Wei and Huan Lin and Jian Yang and Jianhong Tu and Jianwei Zhang and Jianxin Yang and Jiaxi Yang and Jingren Zhou and Junyang Lin and Kai Dang and Keming Lu and Keqin Bao and Kexin Yang and Le Yu and Mei Li and Mingfeng Xue and Pei Zhang and Qin Zhu and Rui Men and Runji Lin and Tianhao Li and Tianyi Tang and Tingyu Xia and Xingzhang Ren and Xuancheng Ren and Yang Fan and Yang Su and Yichang Zhang and Yu Wan and Yuqiong Liu and Zeyu Cui and Zhenru Zhang and Zihan Qiu},
journal = {arXiv preprint arXiv:2412.15115},
year = {2024}
}
@misc{qwq32b,
title = {QwQ-32B: Embracing the Power of Reinforcement Learning},
url = {https://qwenlm.github.io/blog/qwq-32b/},
author = {Qwen Team},
month = {March},
year = {2025}
}
@misc{deepseekai2025deepseekr1incentivizingreasoningcapability,
title = {DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning},
author = {DeepSeek-AI and Daya Guo and Dejian Yang and Haowei Zhang and Junxiao Song and Ruoyu Zhang and Runxin Xu and Qihao Zhu and Shirong Ma and Peiyi Wang and Xiao Bi and Xiaokang Zhang and Xingkai Yu and Yu Wu and Z. F. Wu and Zhibin Gou and Zhihong Shao and Zhuoshu Li and Ziyi Gao and Aixin Liu and Bing Xue and Bingxuan Wang and Bochao Wu and Bei Feng and Chengda Lu and Chenggang Zhao and Chengqi Deng and Chenyu Zhang and Chong Ruan and Damai Dai and Deli Chen and Dongjie Ji and Erhang Li and Fangyun Lin and Fucong Dai and Fuli Luo and Guangbo Hao and Guanting Chen and Guowei Li and H. Zhang and Han Bao and Hanwei Xu and Haocheng Wang and Honghui Ding and Huajian Xin and Huazuo Gao and Hui Qu and Hui Li and Jianzhong Guo and Jiashi Li and Jiawei Wang and Jingchang Chen and Jingyang Yuan and Junjie Qiu and Junlong Li and J. L. Cai and Jiaqi Ni and Jian Liang and Jin Chen and Kai Dong and Kai Hu and Kaige Gao and Kang Guan and Kexin Huang and Kuai Yu and Lean Wang and Lecong Zhang and Liang Zhao and Litong Wang and Liyue Zhang and Lei Xu and Leyi Xia and Mingchuan Zhang and Minghua Zhang and Minghui Tang and Meng Li and Miaojun Wang and Mingming Li and Ning Tian and Panpan Huang and Peng Zhang and Qiancheng Wang and Qinyu Chen and Qiushi Du and Ruiqi Ge and Ruisong Zhang and Ruizhe Pan and Runji Wang and R. J. Chen and R. L. Jin and Ruyi Chen and Shanghao Lu and Shangyan Zhou and Shanhuang Chen and Shengfeng Ye and Shiyu Wang and Shuiping Yu and Shunfeng Zhou and Shuting Pan and S. S. Li and Shuang Zhou and Shaoqing Wu and Shengfeng Ye and Tao Yun and Tian Pei and Tianyu Sun and T. Wang and Wangding Zeng and Wanjia Zhao and Wen Liu and Wenfeng Liang and Wenjun Gao and Wenqin Yu and Wentao Zhang and W. L. Xiao and Wei An and Xiaodong Liu and Xiaohan Wang and Xiaokang Chen and Xiaotao Nie and Xin Cheng and Xin Liu and Xin Xie and Xingchao Liu and Xinyu Yang and Xinyuan Li and Xuecheng Su and Xuheng Lin and X. Q. Li and Xiangyue Jin and Xiaojin Shen and Xiaosha Chen and Xiaowen Sun and Xiaoxiang Wang and Xinnan Song and Xinyi Zhou and Xianzu Wang and Xinxia Shan and Y. K. Li and Y. Q. Wang and Y. X. Wei and Yang Zhang and Yanhong Xu and Yao Li and Yao Zhao and Yaofeng Sun and Yaohui Wang and Yi Yu and Yichao Zhang and Yifan Shi and Yiliang Xiong and Ying He and Yishi Piao and Yisong Wang and Yixuan Tan and Yiyang Ma and Yiyuan Liu and Yongqiang Guo and Yuan Ou and Yuduan Wang and Yue Gong and Yuheng Zou and Yujia He and Yunfan Xiong and Yuxiang Luo and Yuxiang You and Yuxuan Liu and Yuyang Zhou and Y. X. Zhu and Yanhong Xu and Yanping Huang and Yaohui Li and Yi Zheng and Yuchen Zhu and Yunxian Ma and Ying Tang and Yukun Zha and Yuting Yan and Z. Z. Ren and Zehui Ren and Zhangli Sha and Zhe Fu and Zhean Xu and Zhenda Xie and Zhengyan Zhang and Zhewen Hao and Zhicheng Ma and Zhigang Yan and Zhiyu Wu and Zihui Gu and Zijia Zhu and Zijun Liu and Zilin Li and Ziwei Xie and Ziyang Song and Zizheng Pan and Zhen Huang and Zhipeng Xu and Zhongyu Zhang and Zhen Zhang},
year = {2025},
eprint = {2501.12948},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2501.12948},
}
@article{huang2023chat,
title = {Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages},
author = {Huang, Shih-Cheng and Li, Pin-Zu and Hsu, Yu-Chi and Chen, Kuang-Ming and Lin, Yu Tung and Hsiao, Shih-Kai and Tzong-Han Tsai, Richard and Lee, Hung-yi},
year = {2023},
url = {https://arxiv.org/abs/2310.04799}
}
@inproceedings{hong2024orpo,
title = {ORPO: Monolithic Preference Optimization without Reference Model},
author = {Hong, Jiwoo and Lee, Noah and Thorne, James},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
pages = {11170--11189},
year = {2024}
}
@misc{llamacpp,
title = {llama.cpp},
author = {Gerganov, Georgi},
howpublished = {\url{https://github.com/ggerganov/llama.cpp}},
year = {2023}
}
📄 許可證
本項目採用 Apache License 2.0 許可證。
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