PSA: llama.cpp -cram should be increased for agentic workflows (default is 8192)

Reddit r/LocalLLaMA Tools

Summary

PSA advising to increase the -cram parameter in llama.cpp for better performance in agentic workflows with long contexts, based on personal experience with Qwen 27B 3.8.

Just a quick PSA. llama.cpp does have prompt caching. if you are running large context lengths and have long multiturn projects, increasing -cram can provide you with massive speedups. There is a point where context lengths can get so large that 8192mb is not enough and the whole context needs to be re processed again on every turn. personally, I have found 20480 to work well with Qwen 27B 3.8 at 262K context. the main downside is this uses more ram. vram usage doesnt increase.
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