CLBlast
Tuned OpenCL BLAS (by CNugteren)
limited-systems
Limited Systems (by wimvanderbauwhede)
CLBlast | limited-systems | |
---|---|---|
4 | 1 | |
997 | 138 | |
- | - | |
6.6 | 10.0 | |
about 1 month ago | over 1 year ago | |
C++ | CMake | |
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CLBlast
Posts with mentions or reviews of CLBlast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-06.
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Hosting Your Own AI Chatbot on Android Devices
git clone https://github.com/CNugteren/CLBlast.git cd CLBlast cmake . cmake --build . --config Release mkdir install cmake --install . --prefix ~/CLBlast/install cp libclblast.so* $PREFIX/lib cp ./include/clblast.h ../llama.cpp
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Can't compile llama-cpp-python with CLBLAST
I'm trying to get GPU-Acceleration to work with oobabooga's webui, there it says that I just have to reinstall the llama-cpp-python in the environment and have it compile with CLBLAST.So I have CLBLAST downloaded and unzipped, but when I try to do it with:
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How to OpenCL on a raspberry Pi
Which raspberry Pi? For Pi 1 - 3, you can use VC4CL . While it's an impressive effort, it is highly experimental and does not always work as it should. I spent some non-trivial time trying to get CLBlast (a BLAS implementation for OpenCL) working on a 3b+, but there's always something hanging or not giving the right results.
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OpenCL in Termux
Install CLBlast: cd git clone https://github.com/CNugteren/CLBlast.git cd CLBlast cmake -B build \ -DBUILD_SHARED_LIBS=OFF \ -DTUNERS=OFF \ -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_INSTALL_PREFIX=/data/data/com.termux/files/usr cd build make -j8 make install
limited-systems
Posts with mentions or reviews of limited-systems.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-02.
What are some alternatives?
When comparing CLBlast and limited-systems you can also consider the following projects:
monolish - monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
VC4CL - OpenCL implementation running on the VideoCore IV GPU of the Raspberry Pi models
llama.cpp - LLM inference in C/C++
ArrayFire - ArrayFire: a general purpose GPU library.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.