Run Qwen3.8-27B locally using Ollama and OpenCode

Setting up a powerful local artificial intelligence coding agent has historically required manual endpoint configuration and complex inference server setups. A new streamlined workflow simplifies this process, allowing developers to run the Qwen3.8-27B model locally using Ollama and the OpenCode terminal user interface with only three command-line instructions. This integration bypasses the need to compile tools like llama.cpp from source, offering a rapid deployment path for offline software development.

To run the setup effectively, practitioners need sufficient hardware resources. The Qwen3.8-27B model file is approximately 18 GB in size. Running it entirely on a graphics card, such as an NVIDIA RTX 3090 with 24 GB of VRAM, ensures optimal performance while leaving enough memory for context windows and operational overhead. If the GPU lacks sufficient VRAM, Ollama can split the workload between the graphics card and system memory, though this slows down generation speeds. In such hybrid setups, a minimum of 32 GB of system RAM is recommended.

The installation begins by running a curl command to install Ollama, followed by starting the local server to download the model. Finally, the command "ollama launch opencode --model qwen3.8:27b" initializes the OpenCode environment. If OpenCode is not already installed, the system prompts the user to install it automatically. In practical tests, the local agent successfully generated a Python application, ran tests, and delivered a comprehensive project summary in under two minutes.

For software practitioners, this setup lowers the barrier to entry for secure, local AI-assisted programming. While advanced users may still prefer llama.cpp for granular control over quantization and inference tuning, the Ollama and OpenCode combination provides an accessible alternative. It allows developers to quickly leverage Qwen3.8-27B's strong reasoning, tool use, and long-horizon agentic capabilities directly on their local machines.