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prefix caching in llama.cpp with PyTorch
#1
Posting this in case it saves someone else a little time.

If you were starting from scratch today for this use case, what would you choose first and what would you ignore?

I'm especially interested in mistakes worth avoiding.

For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.
2x3090 • llama.cpp • too much VRAM is still not enough
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prefix caching in llama.cpp with PyTorch - by vrambandit - 10-06-2026, 10:18 AM

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