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Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.

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--- title: Using Local Qwen Model in LobeChat description: 通过LobeChat和Ollama的集成,您可以轻松在LobeChat中使用Qwen。本文将指导您如何在LobeChat中使用本地部署版本的Qwen。 tags: - Qwen - LobeChat - Ollama - 本地部署 - AI大模型 --- # Using the Local Qwen Model <Image alt={'Using Qwen in LobeChat'} cover src={'https://github.com/lobehub/lobe-chat/assets/17870709/b4a01219-e7b1-48a0-888c-f0271b18e3a6'} /> [Qwen](https://github.com/QwenLM/Qwen1.5) is a large language model (LLM) open-sourced by Alibaba Cloud. It is officially defined as a constantly evolving AI large model, and it achieves more accurate Chinese recognition capabilities through more training set content. <Video src="https://github.com/lobehub/lobe-chat/assets/28616219/31e5f625-8dc4-4a5f-a5fd-d28d0457782d" /> Now, through the integration of LobeChat and [Ollama](https://ollama.com/), you can easily use Qwen in LobeChat. This document will guide you on how to use the local deployment version of Qwen in LobeChat: <Steps> ## Local Installation of Ollama First, you need to install Ollama. For the installation process, please refer to the [Ollama Usage Document](/docs/usage/providers/ollama). ## Pull the Qwen Model to Local with Ollama After installing Ollama, you can install the Qwen model with the following command, taking the 14b model as an example: ```bash ollama pull qwen:14b ``` <Callout type={'info'}> The local version of Qwen provides different model sizes to choose from. Please refer to the [Qwen's Ollama integration page](https://ollama.com/library/qwen) to understand how to choose the model size. </Callout> <Image alt={'Use Ollama Pull Qwen Model'} height={473} inStep src={'https://github.com/lobehub/lobe-chat/assets/1845053/fe34fdfe-c2e4-4d6a-84d7-4ebc61b2516a'} /> ### Select the Qwen Model In the LobeChat conversation page, open the model selection panel, and then select the Qwen model. <Image alt={'Choose Qwen Model'} height={430} inStep src={'https://github.com/lobehub/lobe-chat/assets/28616219/e0608cca-f62f-414a-bc55-28a61ba21f14'} /> <Callout type={'info'}> If you do not see the Ollama provider in the model selection panel, please refer to [Integration with Ollama](/docs/self-hosting/examples/ollama) to learn how to enable the Ollama provider in LobeChat. </Callout> </Steps> Next, you can have a conversation with the local Qwen model in LobeChat.