The LLM tunes its own llama.cpp flags (+54% tok/s on Qwen3.5-27B)

This r/ollama post describes a technique where an LLM is used to automatically tune its own llama.cpp runtime flags — such as parameters related to GPU offloading, KV cache quantization, batch sizes, and threading — to maximize inference performance on a given hardware setup. The approach reportedly achieved a ~54% increase in token generation speed (tokens per second) when benchmarked on the Qwen3.5-27B model, demonstrating that default llama.cpp configurations often leave significant performance gains unrealized. The post likely includes the methodology, specific flags tuned, and before/after benchmark results, making it relevant to users seeking to optimize local LLM inference without manual trial-and-error configuration.

Source: r/ollama | 2026-04-14