Developers can run local AI assistants in VS Code to maintain data security and avoid cloud-based code processing. A system with 32 GB of RAM is sufficient to handle models like the 20B class, which utilizes Mixture of Experts (MoE) architecture for efficient token generation.
The Kilo Code App, a fork of OpenCode, serves as an interface for these local models. However, default Ollama configurations often fail to handle tool calls correctly, leading to errors. To resolve this, users must create a custom Modelfile.
The recommended configuration includes specific parameters such as num_ctx 40960 for memory efficiency and num_batch 512 for faster checkpointing. This setup ensures the model correctly manages tools and system instructions within the VS Code environment.
