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prefix caching in llama.cpp with MLX
#6
Quote:Good point. I ended up in about the same place using llama.cpp. I got better results once I stopped chasing one metric and just looked at whether the

I'd approach it in a boring order. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
2x3090 • llama.cpp • too much VRAM is still not enough
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Re: prefix caching in llama.cpp with MLX - by vrambandit - 09-26-2026, 07:18 AM

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