RichardErkhov/Qwen_-_Qwen2-Math-1.5B-gguf

Quantization made by Richard Erkhov.

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Qwen2-Math-1.5B - GGUF

• Model creator: https://huggingface.co/Qwen/
• Original model: https://huggingface.co/Qwen/Qwen2-Math-1.5B/

Name	Quant method	Size
Qwen2-Math-1.5B.Q2_K.gguf	Q2_K	0.63GB
Qwen2-Math-1.5B.IQ3_XS.gguf	IQ3_XS	0.68GB
Qwen2-Math-1.5B.IQ3_S.gguf	IQ3_S	0.71GB
Qwen2-Math-1.5B.Q3_K_S.gguf	Q3_K_S	0.71GB
Qwen2-Math-1.5B.IQ3_M.gguf	IQ3_M	0.72GB
Qwen2-Math-1.5B.Q3_K.gguf	Q3_K	0.77GB
Qwen2-Math-1.5B.Q3_K_M.gguf	Q3_K_M	0.77GB
Qwen2-Math-1.5B.Q3_K_L.gguf	Q3_K_L	0.82GB
Qwen2-Math-1.5B.IQ4_XS.gguf	IQ4_XS	0.84GB
Qwen2-Math-1.5B.Q4_0.gguf	Q4_0	0.87GB
Qwen2-Math-1.5B.IQ4_NL.gguf	IQ4_NL	0.88GB
Qwen2-Math-1.5B.Q4_K_S.gguf	Q4_K_S	0.88GB
Qwen2-Math-1.5B.Q4_K.gguf	Q4_K	0.92GB
Qwen2-Math-1.5B.Q4_K_M.gguf	Q4_K_M	0.92GB
Qwen2-Math-1.5B.Q4_1.gguf	Q4_1	0.95GB
Qwen2-Math-1.5B.Q5_0.gguf	Q5_0	1.02GB
Qwen2-Math-1.5B.Q5_K_S.gguf	Q5_K_S	1.02GB
Qwen2-Math-1.5B.Q5_K.gguf	Q5_K	1.05GB
Qwen2-Math-1.5B.Q5_K_M.gguf	Q5_K_M	1.05GB
Qwen2-Math-1.5B.Q5_1.gguf	Q5_1	1.1GB
Qwen2-Math-1.5B.Q6_K.gguf	Q6_K	1.19GB
Qwen2-Math-1.5B.Q8_0.gguf	Q8_0	1.53GB

Original model description:

license: apache-2.0 language: - en pipeline_tag: text-generation tags: - chat

Qwen2-Math-1.5B

🚨 Temporarily this model mainly supports English. We will release bilingual (English & Chinese) models soon!

Introduction

Over the past year, we have dedicated significant effort to researching and enhancing the reasoning capabilities of large language models, with a particular focus on their ability to solve arithmetic and mathematical problems. Today, we are delighted to introduce a serise of math-specific large language models of our Qwen2 series, Qwen2-Math and Qwen2-Math-Instruct-1.5B/7B/72B. Qwen2-Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o). We hope that Qwen2-Math can contribute to the scientific community for solving advanced mathematical problems that require complex, multi-step logical reasoning.

Model Details

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

Requirements

• transformers>=4.40.0 for Qwen2-Math models. The latest version is recommended.

🚨 This is a must because `transformers` integrated Qwen2 codes since `4.37.0`.

For requirements on GPU memory and the respective throughput, see similar results of Qwen2 here.

Qwen2-Math-1.5B-Instruct is an instruction model for chatting;

Qwen2-Math-1.5B is a base model typically used for completion and few-shot inference, serving as a better starting point for fine-tuning.

Citation

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

@article{yang2024qwen2,
  title={Qwen2 technical report},
  author={Yang, An and Yang, Baosong and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Zhou, Chang and Li, Chengpeng and Li, Chengyuan and Liu, Dayiheng and Huang, Fei and others},
  journal={arXiv preprint arXiv:2407.10671},
  year={2024}
}