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authorMohammadreza Hendiani <mohammad.r.hendiani@gmail.com>2024-04-21 16:02:05 +0330
committerGitHub <noreply@github.com>2024-04-21 15:32:05 +0300
commit2cca09d509c0e114acc16cb347c3cdd86e5f1b40 (patch)
treeead19ea2b85489f4b4accf4d91434a6ae71aa0f1
parent89b0bf0d5dc123cc1053708f5f84b89e52cdc80b (diff)
readme : add Fedora instructions (#6783)
* added fedora to list of distros that may need the package (the packages have the same name on Fedora) * how to add clblast that is avalible in the fedora repos
-rw-r--r--README.md8
1 files changed, 7 insertions, 1 deletions
diff --git a/README.md b/README.md
index 08661831..14405226 100644
--- a/README.md
+++ b/README.md
@@ -549,7 +549,7 @@ Building the program with BLAS support may lead to some performance improvements
OpenCL acceleration is provided by the matrix multiplication kernels from the [CLBlast](https://github.com/CNugteren/CLBlast) project and custom kernels for ggml that can generate tokens on the GPU.
You will need the [OpenCL SDK](https://github.com/KhronosGroup/OpenCL-SDK).
- - For Ubuntu or Debian, the packages `opencl-headers`, `ocl-icd` may be needed.
+ - For Ubuntu, Debian, and Fedora the packages `opencl-headers`, `ocl-icd` may be needed.
- For Windows, a pre-built SDK is available on the [OpenCL Releases](https://github.com/KhronosGroup/OpenCL-SDK/releases) page.
@@ -574,6 +574,12 @@ Building the program with BLAS support may lead to some performance improvements
Pre-built CLBlast binaries may be found on the [CLBlast Releases](https://github.com/CNugteren/CLBlast/releases) page. For Unix variants, it may also be found in your operating system's packages.
+ Linux packaging:
+ Fedora Linux:
+ ```bash
+ sudo dnf install clblast
+ ```
+
Alternatively, they may be built from source.
- <details>