Qwen 3.5: Revolutionizing Local AI with Ollama
The latest version of Qwen, Qwen 3.5, has just been released, and it’s making waves in the AI community. One of the most exciting features of this update is the integration with Ollama, a tool that allows you to run large language models (LLMs) locally. In this article, we will delve into the new features of Qwen 3.5, with a focus on using Ollama to run a 9 billion parameter model locally, even in homelab scenarios.
Running Qwen 3.5 Locally with Ollama
Ollama is a user-friendly tool that makes it possible to run large language models on your local machine. It’s designed to be efficient and accessible, even for users with limited technical expertise. With Ollama, you can now run Qwen 3.5, including its 9 billion parameter model, directly on your local machine.
Hardware Requirements
While running a 9 billion parameter model locally might seem like a daunting task, Ollama is optimized to work with a range of hardware configurations. Here are the minimum requirements to run Qwen 3.5 using Ollama:
- CPU: An modern CPU with at least 8 cores. For optimal performance, a CPU with 16 cores or more is recommended.
- GPU: A NVIDIA GPU with at least 11 GB of VRAM. For better performance, a GPU with more VRAM, such as the NVIDIA RTX 4090 (24 GB), is recommended.
- RAM: At least 32 GB of RAM. For smoother operation, 64 GB or more is recommended.
- Storage: A fast SSD with at least 50 GB of free space.
Setting Up Ollama for Qwen 3.5
To set up Ollama for Qwen 3.5, follow these steps:
- Install Ollama by following the official guide: [Install Ollama](https://github.com/jmorganca/ollama#installation)
- Pull the Qwen 3.5 model using Ollama:
“`bash
ollama pull qwen-3.5
“` - Run the Qwen 3.5 model:
“`bash
ollama serve qwen-3.5
“`
Conclusion
The integration of Ollama with Qwen 3.5 opens up a world of possibilities for local AI use. Whether you’re a developer looking to fine-tune models or a user who wants to interact with AI without an internet connection, Qwen 3.5 and Ollama make it possible to run cutting-edge models locally. So why wait? Start exploring the new features of Qwen 3.5 today!

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