tokenspersecond

The tokenspersecond tag on WindowsForum.com covers discussions about optimizing token generation speed when running local large language models (LLMs) on Windows. A recurring theme is tuning the model's context length to significantly improve tokens per second, especially on consumer hardware. Shorter context windows allow models to better utilize GPU resources rather than stalling on CPU, resulting in faster response times. Practical advice includes using Ollama's GUI slider or CLI to adjust and persist context length settings, and creating multiple model variants for different use cases. The tag focuses on concrete performance tuning for local AI inference on Windows systems.