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compilade

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Funding Links: https://github.com/sponsors/compilade

GitHub Sponsors Profile

Support my work on llama.cpp related to memory optimizations (also for the convert scripts), fast ternary packing, Mamba, Mamba-2, Jamba, and other recurrent models.
I've also been exploring with rounding algorithms to improve k-quants.
I study in Electrical Engineering, but I like to work on ML in my free time. I like to work on problems where both low-level and high-level concepts need to be considered.
Large external storage is very useful when testing the conversion script(s).
Sometimes, when working on (de)quantization schemes, I need to test things on hardware with specific instruction set extensions and/or GPUs, in which case I temporarily rent a cloud instance, but I generally prefer to use local hardware.

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