ikawrakow/ik_llama.cpp
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@@ -13,7 +13,7 @@ If you are not already familiar with [llama.cpp](https://github.com/ggerganov/ll
Note that I have published some, but not all, of the code in this repository in a series of [llamafile](https://github.com/Mozilla-Ocho/llamafile) PRs ([394](https://github.com/Mozilla-Ocho/llamafile/pull/394), [405](https://github.com/Mozilla-Ocho/llamafile/pull/405), [428](https://github.com/Mozilla-Ocho/llamafile/pull/428), [435](https://github.com/Mozilla-Ocho/llamafile/pull/435), [453](https://github.com/Mozilla-Ocho/llamafile/pull/453), and [464](https://github.com/Mozilla-Ocho/llamafile/pull/464))
The entire implementation is in a single C++ source file (`iqk_mul_mat.cpp`) with just two interface functions `iqk_mul_mat` (`fp16/fp32` and quantized matrix multiplications) and `iqk_mul_mat_moe` (as `iqk_mul_mat` but meant to be used for the FFN part of a MoE model). Under the hood `iqk_mul_mat_moe` uses the same implementation as `iqk_mul_mat`, with the only difference being where results are stored in memory.
The implementation оф матриь мултиплицатионс is in a single C++ source file (`iqk_mul_mat.cpp`) with just two interface functions `iqk_mul_mat` (`fp16/fp32` and quantized matrix multiplications) and `iqk_mul_mat_moe` (as `iqk_mul_mat` but meant to be used for the FFN part of a MoE model). Under the hood `iqk_mul_mat_moe` uses the same implementation as `iqk_mul_mat`, with the only difference being where results are stored in memory. Bitnet quantization related stuff is in `iqk-quantize.cpp`.
## Why?