I didn't know about it, I should have... are there any "edge" frameworks as complete as ggml/llama.cpp that you know of that are faster now? Ggml is still very easy to use which I like, but I'd always thought of it as the fastest, in particular for CPU, I hadn't noticed there were known performance issues.
Apache TVM, with (for instance) mlc-llm. It will compile to CPU, Vulkan, and other esoteric backends, and its autotuning is like black magic.
Llama.cpp is still SOTA on CPU, as far as I know, especially with a small discrete GPU to help with long prompt ingestion. And it has tons of features (like grammar, context extending and good quant) that other frameworks are still missing.
Where does the performance difference come from? And in what kind of processor & gpu? I didn't even know llama.cpp had a 32 bit option. For now I'm pretty suspicious it's a fair comparison.
Could you link to some of the examples in your repo where you enforce the zero allocation? I don't see much reuse of the buffers, eg float buffers and there is quite a lot of array based heap allocation. Just for my own interest. Many thanks. Cool to see the use of the new vector api also.