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[LLM Daily] Get to know the latest open source language models: ChatGLM3-6B, OpenChat and Zephyr 7B

This article aims to introduce the three latest open source language models, including ChatGLM3-6B, OpenChat and Zephyr 7B β, and explore their technical characteristics and application fields.

As the field of natural language processing continues to evolve, so does the quality and diversity of open source language models. ChatGLM3-6B offers a more powerful base model and more comprehensive feature support, OpenChat achieves superior performance with mixed-quality data, and Zephyr 7B beta is a language model designed to help. These models demonstrate unique value in different fields.

ChatGLM3-6B: Next generation open source conversation model

ChatGLM3-6B is the latest generation open source model of the ChatGLM series, inheriting the excellent features of the previous two generations, such as smooth conversations and low-threshold deployment. ChatGLM3-6B introduces a more powerful base model and more complete feature support, making it one of the most powerful pre-trained models on different data sets. In addition, it has multiple open source versions available for academic research and free commercial use.

OpenChat: Advancing open source language models using mixed-quality data

OpenChat is a family of innovative open source language model libraries finely tuned using the C-RLFT strategy, allowing it to achieve performance comparable to ChatGPT on mixed-quality data without preferred labels. Despite its relatively simple approach, OpenChat continues to move toward this vision by developing high-performance, commercially viable, open source large language models.

Zephyr 7B beta: assistant language model

Zephyr is a family of language models designed to act as helpful assistants. Zephyr-7B-β is the second model in this series and is a finely tuned version of mistralai/Mistral-7B-v0.1. It is trained with Direct Preference Optimization (DPO) and has better performance, but may generate questions when the prompt asks for question text. Therefore, this model is mainly used in the field of education and research.

These models represent the latest advances in natural language processing, providing more versatile and high-performance options. Whether you are engaged in academic research or commercial applications, these open source models may provide strong support for your projects.

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