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RichardErkhov/
Qwen_-_Qwen1.5-32B-gguf

Name: Qwen_-_Qwen1.5-32B-gguf
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Qwen1.5-32B - GGUF

Model creator: https://huggingface.co/Qwen/
Original model: https://huggingface.co/Qwen/Qwen1.5-32B/

Name	Quant method	Size
Qwen1.5-32B.Q2_K.gguf	Q2_K	11.38GB
Qwen1.5-32B.Q3_K_S.gguf	Q3_K_S	13.3GB
Qwen1.5-32B.Q3_K.gguf	Q3_K	14.73GB
Qwen1.5-32B.Q3_K_M.gguf	Q3_K_M	14.73GB
Qwen1.5-32B.Q3_K_L.gguf	Q3_K_L	15.94GB
Qwen1.5-32B.IQ4_XS.gguf	IQ4_XS	16.52GB
Qwen1.5-32B.Q4_0.gguf	Q4_0	17.23GB
Qwen1.5-32B.IQ4_NL.gguf	IQ4_NL	17.4GB
Qwen1.5-32B.Q4_K_S.gguf	Q4_K_S	17.36GB
Qwen1.5-32B.Q4_K.gguf	Q4_K	18.35GB
Qwen1.5-32B.Q4_K_M.gguf	Q4_K_M	18.35GB
Qwen1.5-32B.Q4_1.gguf	Q4_1	19.08GB
Qwen1.5-32B.Q5_0.gguf	Q5_0	20.92GB
Qwen1.5-32B.Q5_K_S.gguf	Q5_K_S	20.92GB
Qwen1.5-32B.Q5_K.gguf	Q5_K	21.5GB
Qwen1.5-32B.Q5_K_M.gguf	Q5_K_M	21.5GB
Qwen1.5-32B.Q5_1.gguf	Q5_1	22.77GB
Qwen1.5-32B.Q6_K.gguf	Q6_K	24.85GB
Qwen1.5-32B.Q8_0.gguf	Q8_0	32.18GB

Original model description:

license: other license_name: tongyi-qianwen-research license_link: >- https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE language:

en pipeline_tag: text-generation tags:
pretrained

Qwen1.5-32B

Introduction

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:

8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE model of 14B with 2.7B activated;
Significant performance improvement in Chat models;
Multilingual support of both base and chat models;
Stable support of 32K context length for models of all sizes
No need of trust_remote_code.

For more details, please refer to our blog post and GitHub repo.

Model Details

Qwen1.5 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention, etc. Additionally, we have an improved tokenizer adaptive to multiple natural languages and codes. For the beta version, temporarily we did not include GQA (except for 32B) and the mixture of SWA and full attention.

Requirements

The code of Qwen1.5 has been in the latest Hugging face transformers and we advise you to install transformers>=4.37.0, or you might encounter the following error:

KeyError: 'qwen2'.

Usage

We do not advise you to use base language models for text generation. Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., on this model.

Citation

If you find our work helpful, feel free to give us a cite.

@article{qwen,
  title={Qwen Technical Report},
  author={Jinze Bai and Shuai Bai and Yunfei Chu and Zeyu Cui and Kai Dang and Xiaodong Deng and Yang Fan and Wenbin Ge and Yu Han and Fei Huang and Binyuan Hui and Luo Ji and Mei Li and Junyang Lin and Runji Lin and Dayiheng Liu and Gao Liu and Chengqiang Lu and Keming Lu and Jianxin Ma and Rui Men and Xingzhang Ren and Xuancheng Ren and Chuanqi Tan and Sinan Tan and Jianhong Tu and Peng Wang and Shijie Wang and Wei Wang and Shengguang Wu and Benfeng Xu and Jin Xu and An Yang and Hao Yang and Jian Yang and Shusheng Yang and Yang Yao and Bowen Yu and Hongyi Yuan and Zheng Yuan and Jianwei Zhang and Xingxuan Zhang and Yichang Zhang and Zhenru Zhang and Chang Zhou and Jingren Zhou and Xiaohuan Zhou and Tianhang Zhu},
  journal={arXiv preprint arXiv:2309.16609},
  year={2023}
}

RichardErkhov/Qwen_-_Qwen1.5-32B-gguf