Summary:
- The article discusses the integration of k/v context quantisation into the Ollama language model, which is a large language model developed by Anthropic.
- K/v context quantisation is a technique that reduces the memory and computational requirements of language models by compressing the context information used during inference.
- The author explains how this technique can improve the efficiency and performance of the Ollama model, making it more practical for real-world applications.