WizardLM-70B-V1.0 Open-Source Language Model - Accurately and Efficiently Execute Users' Complex Instructions

Wizardlm 70B V1.0

Developed by WizardLMTeam

WizardLM is a project dedicated to enhancing the ability of large pre-trained language models to follow complex instructions. By optimizing the model training method, it can understand and execute user instructions more accurately and efficiently.

Large Language Model

Transformers

#Complex instruction understanding #Code generation optimization #Mathematical reasoning enhancement

Downloads 4,918

Release Time : 8/9/2023

Model Overview

WizardLM focuses on enhancing the understanding and execution ability of large language models for complex instructions and is suitable for various natural language processing tasks, such as text generation, code generation, and mathematical problem-solving.

Model Features

Complex instruction understanding

Enhance the model's understanding ability of complex and multi-step instructions through special training methods

Excellent performance in multiple tasks

Perform excellently in multiple tasks such as text generation, code generation, and mathematical problem-solving

Open-source model

Provide model versions with multiple parameter scales to support the use and research of the open-source community

Model Capabilities

Complex instruction understanding

Multi-round dialogue

Code generation

Mathematical problem-solving

Text generation

Use Cases

Programming assistance

Code generation

Generate high-quality code based on natural language descriptions

Achieve 73.2 pass@1 in the HumanEval benchmark test

Code debugging

Help developers understand and fix code problems

Education

Mathematical problem-solving

Solve various mathematical problems, including algebra and geometry

Achieve 81.6 pass@1 in the GSM8k benchmark test

Content creation

Text generation

Generate high-quality text content based on instructions

🚀 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions

WizardLM is designed to enhance large pre-trained language models, enabling them to better follow complex instructions and provide more accurate and useful responses.

🚀 Quick Start

Project Links

Unofficial Video Introductions

Thanks to enthusiastic friends, their video introductions are more vivid and interesting.

✨ Features

News

🔥🔥🔥 [2023/08/26] We released WizardCoder-Python-34B-V1.0, which achieves 73.2 pass@1 and surpasses GPT4 (2023/03/15), ChatGPT-3.5, and Claude2 on the HumanEval Benchmarks. For more details, please refer to WizardCoder.
[2023/06/16] We released WizardCoder-15B-V1.0, which surpasses Claude-Plus (+6.8), Bard (+15.3), and InstructCodeT5+ (+22.3) on the HumanEval Benchmarks. For more details, please refer to WizardCoder.
🔥 [08/11/2023] We released WizardMath Models.
- Our WizardMath-70B-V1.0 model slightly outperforms some closed - source LLMs on the GSM8K, including ChatGPT 3.5, Claude Instant 1, and PaLM 2 540B.
- Our WizardMath-70B-V1.0 model achieves 81.6 pass@1 on the GSM8k Benchmarks, which is 24.8 points higher than the SOTA open - source LLM.
- Our WizardMath-70B-V1.0 model achieves 22.7 pass@1 on the MATH Benchmarks, which is 9.2 points higher than the SOTA open - source LLM.
🔥🔥🔥 [08/09/2023] We released WizardLM-70B-V1.0 model.

Model Table

WizardCoder Models

Model	Checkpoint	Paper	HumanEval	MBPP	Demo	License
WizardCoder-Python-34B-V1.0	🤗 HF Link	📃 WizardCoder	73.2	61.2	Demo	Llama2
WizardCoder-15B-V1.0	🤗 HF Link	📃 WizardCoder	59.8	50.6	--	OpenRAIL - M
WizardCoder-Python-13B-V1.0	🤗 HF Link	📃 WizardCoder	64.0	55.6	--	Llama2
WizardCoder-Python-7B-V1.0	🤗 HF Link	📃 WizardCoder	55.5	51.6	Demo	Llama2
WizardCoder-3B-V1.0	🤗 HF Link	📃 WizardCoder	34.8	37.4	--	OpenRAIL - M
WizardCoder-1B-V1.0	🤗 HF Link	📃 WizardCoder	23.8	28.6	--	OpenRAIL - M

WizardMath Models

Model	Checkpoint	Paper	GSM8k	MATH	Online Demo	License
WizardMath-70B-V1.0	🤗 HF Link	📃 WizardMath	81.6	22.7	Demo	Llama 2
WizardMath-13B-V1.0	🤗 HF Link	📃 WizardMath	63.9	14.0	Demo	Llama 2
WizardMath-7B-V1.0	🤗 HF Link	📃 WizardMath	54.9	10.7	Demo	Llama 2

WizardLM Models

Model	Checkpoint	Paper	MT - Bench	AlpacaEval	GSM8k	HumanEval	License
WizardLM-70B-V1.0	🤗 HF Link	📃 Coming Soon	7.78	92.91%	77.6%	50.6 pass@1	Llama 2 License
WizardLM-13B-V1.2	🤗 HF Link		7.06	89.17%	55.3%	36.6 pass@1	Llama 2 License
WizardLM-13B-V1.1	🤗 HF Link		6.76	86.32%		25.0 pass@1	Non - commercial
WizardLM-30B-V1.0	🤗 HF Link		7.01			37.8 pass@1	Non - commercial
WizardLM-13B-V1.0	🤗 HF Link		6.35	75.31%		24.0 pass@1	Non - commercial
WizardLM-7B-V1.0	🤗 HF Link	📃 WizardLM				19.1 pass@1	Non - commercial

📚 Documentation

Note for model system prompts usage

WizardLM adopts the prompt format from Vicuna and supports multi - turn conversation. The prompt should be as follows:

A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Hi ASSISTANT: Hello.</s>USER: Who are you? ASSISTANT: I am WizardLM.</s>......

Inference WizardLM Demo Script

We provide the inference WizardLM demo code here.

Citation

Please cite the paper if you use the data or code from WizardLM.

@article{xu2023wizardlm,
  title={Wizardlm: Empowering large language models to follow complex instructions},
  author={Xu, Can and Sun, Qingfeng and Zheng, Kai and Geng, Xiubo and Zhao, Pu and Feng, Jiazhan and Tao, Chongyang and Jiang, Daxin},
  journal={arXiv preprint arXiv:2304.12244},
  year={2023}
}

Concern about dataset

Recently, there have been clear changes in the open - source policy and regulations of our overall organization's code, data, and models. Despite this, we have still worked hard to obtain opening the weights of the model first, but the data involves stricter auditing and is in review with our legal team. Our researchers have no authority to publicly release them without authorization. Thank you for your understanding.

📄 License

The license of WizardLM models is mainly Llama2 license or non - commercial license, as detailed in the above model tables.

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