KV cache RAM offload offers viable alternative for local LLMs

A user on r/LocalLLaMA explored the performance implications of offloading the KV cache to system RAM instead of VRAM when running large language models locally. By using the `-nkvo` flag in llama.cpp, the user found they could fit larger models and context windows onto their GPU with minimal speed degradation. This technique allows for higher quality KV cache (f16) without sacrificing significant generation speed, making it a viable option for users with limited VRAM. AI

IMPACT Enables users with less VRAM to run larger models and longer contexts with minimal performance loss.

RANK_REASON User-generated technical exploration of LLM inference optimization. [lever_c_demoted from research: ic=1 ai=0.7]

Read on r/LocalLLaMA →

• llama.cpp
• Qwen3.6 27B
• RTX 5060 Ti

• infra
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →