ikawrakow/ik_llama.cpp
1
0
Fork 0
mirror of https://github.com/ikawrakow/ik_llama.cpp.git synced 2026-05-11 08:30:19 +00:00
Code Issues Packages Projects Releases Wiki Activity

readme : link "Build for CPU" to AVX-512 build flags reference (#1735)

Browse Source 
Adds a short note in README's "Build for CPU" section pointing to the
AVX-512 build flags reference in docs/build.md (added by #1729).

The vanilla `cmake -B build -DGGML_NATIVE=ON` example shown right above
silently falls back to the AVX2 path on AMD Zen4 / Intel Sapphire
Rapids+ hardware; users hitting "my Zen4 build is slow" tend to look at
the README first, so a single-paragraph cross-reference here saves them
from having to dig through docs/ to find the right knob.

No content moved — README still has its own short example, the new
paragraph just points at the deeper reference.
This commit is contained in:
Andrew Moryakov
2026-05-04 15:35:24 +03:00
committed by GitHub
parent a67287124d
commit 45dfd80371
1 changed files with 6 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@@ -45,6 +45,12 @@ cmake -B build -DGGML_NATIVE=ON
cmake --build build --config Release -j$(nproc)
```
For AVX-512-capable CPUs (AMD Zen4 / Intel Sapphire Rapids+), see
[`docs/build.md`](docs/build.md) section "CPU build flags for AVX-512" for the
additional flags that activate the IQK quantized GEMM kernels (the
`HAVE_FANCY_SIMD` path). Without those flags, a vanilla `Release` build
silently falls back to the AVX2 path on this hardware.
### Build for GPU
Install Nvidia Drivers and [CUDA Toolkit](https://developer.nvidia.com/cuda/toolkit).