Best Local LLMs for Privacy-First Coding

Local large language models for coding execute on user hardware to support tasks like code generation, autocompletion, refactoring, and debugging without sending data to external servers. Included are open-weight models optimized for programming languages and runnable on consumer GPUs or CPUs; excluded are cloud-hosted services, proprietary APIs, and general-purpose models lacking coding specializations. Selection hinges on inference speed, hardware requirements, and performance metrics from coding benchmarks such as HumanEval.