Finding the Sweet Spot for Local LLMs: Qwen Coder & Llama.cpp
A developer has found an optimal setup for running large language models locally for software development, leveraging a MacBook Pro M5 with 128GB RAM. The chosen configuration uses Llama.cpp directly, with the Qwen3-Coder-Next model in an 8-bit quantization format, which balances performance and memory usage. This setup integrates with GitHub Copilot, allowing for free token usage on the standard plan while performing complex code analysis. AI
IMPACT Enables cost-effective local LLM usage for developers, potentially reducing reliance on paid token-based services for coding tasks.