vbatts/llama.cpp
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llama : reorganize source code + improve CMake (#8006)

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* scripts : update sync [no ci]

* files : relocate [no ci]

* ci : disable kompute build [no ci]

* cmake : fixes [no ci]

* server : fix mingw build

ggml-ci

* cmake : minor [no ci]

* cmake : link math library [no ci]

* cmake : build normal ggml library (not object library) [no ci]

* cmake : fix kompute build

ggml-ci

* make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE

ggml-ci

* move public backend headers to the public include directory (#8122)

* move public backend headers to the public include directory

* nix test

* spm : fix metal header

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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* scripts : fix sync paths [no ci]

* scripts : sync ggml-blas.h [no ci]

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Co-authored-by: slaren <slarengh@gmail.com>
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Georgi Gerganov 2024-06-26 18:33:02 +03:00 • committed by GitHub
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examples/imatrix/README.md
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@ -25,7 +25,7 @@ For faster computation, make sure to use GPU offloading via the `-ngl` argument
## Example
```bash
LLAMA_CUDA=1 make -j
GGML_CUDA=1 make -j
# generate importance matrix (imatrix.dat)
./llama-imatrix -m ggml-model-f16.gguf -f train-data.txt -ngl 99