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ggml quantization is very easy with the official llama.cpp repo. Its quick and mostly dependency free, and you can pick the perfect size for your CPU/GPU pool.

But don't get me wrong, TheBloke is a hero.



While we're at it, the GGML file format has been deprecated in favor of GGUF.

https://github.com/philpax/ggml/blob/gguf-spec/docs/gguf.md

https://github.com/ggerganov/llama.cpp/pull/2398


Some of the newer models have slightly different architectures, so he explains any differences and shows a llama.cpp invocation. Plus you can avoid pulling the larger dataset.


Yeah. Keeping up wkth the changes is madness, and those FP16 weights are huge.




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