#community discussion

A blog post by Quesma suggests that Qwen 3.6 27B is the ideal model for local development, claiming it offers a good balance of performance and resource requirements. This recommendation is significant because local LLM deployment can enhance privacy and reduce latency, but the high hardware cost (e.g., a 128GB MacBook Pro at $6699) and limited real-world codebase testing make it impractical for many developers. The Qwen 3.6 27B dense model requires approximately 18GB VRAM at Q4KM quantization, and a 128GB MacBook Pro is recommended for running it comfortably, but community comments note that even with such hardware, thermal and noise issues arise during intensive use.