IQ*_K Quantization Implementation in Llama.cpp

A recent pull request for the llama.cpp project aims to add support for IQ_K and IQ_KS quantization formats. These quantization schemes are derived from the ik_llama.cpp repository and promise to improve the efficiency of large language models (LLMs).

The integration of these quantization methods could allow for a significant reduction in model sizes, making them more suitable for execution on devices with limited memory or for on-premise deployments where resource optimization is critical. For those evaluating on-premise deployments, there are trade-offs to consider, and AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.

Further details on the implementation and performance benchmarks will presumably be available once the pull request is reviewed and integrated into the main project.