Running local models is good now
This title could be clearer and more informative.Try out Clickbait Shieldfor free (5 uses left this month).
Local LLMs have matured significantly, with models like Gemma 4 and GPT-OSS now capable of agentic coding tasks at roughly 75% the accuracy of frontier models. The author shares a practical setup using LM Studio as the inference server and Pi as the agent harness, running inside a Docker container for security. The post covers model choices (Gemma 4 26B/12B QAT, Qwen 3 MOE), tooling options (Ollama, llama.cpp, LM Studio), and real-world tasks like Python refactoring, unit test generation, and bootstrapping recommendation system repos. Limitations remain — slow inference, small context windows, and prompt template mismatches — but the ecosystem is improving rapidly.
