The most important thing to know: **Ollama, LM Studio, Jan, KoboldCpp and Docker Model Runner all use the same engine** — llama.cpp, and MLX on a Mac. They do not differ in speed but in the packaging and in the **defaults**. And the defaults are exactly where the trap is: Ollama **truncates at 4,096 tokens** out of the box, even when the model could handle 256k.
