llama.cpp - how to free up even more space on your GPU

The article discusses optimizations for the llama.cpp framework to enhance GPU memory efficiency when running large models, specifically the Qwen3.6-27B-UD-Q5_K_XL-mtp with 150k context. Key techniques include using flags such as `--no-mmproj-offload` to offload memory to the CPU, `--cache-type-k` and `--cache-type-v` to reduce memory allocation by up to 75%, and `--spec-draft-n-max` to predict future tokens, which balances memory usage and throughput. These optimizations are crucial for practitioners looking to maximize context size and performance on limited GPU resources, particularly in setups with high VRAM demands.