LLAMA-CPP-PYTHON on RTX4060 GPU

LLAMA-CPP-PYTHON on NVIDIA RTX4060 GPU

We try to use llama-cpp-python library with many OS.

Windows 11

Ubuntu 22.04

and Colab ( ubuntu 22.04 also )



Llama-cpp-python library with RTX4060 GPU on Windows11

Install NVDIA GPU Driver.

we use driver version 537.24


then check nvidia-smi command for check your GPU.


Install CUDA Toolkit.  https://developer.nvidia.com/cuda-downloads

we use CUDA 12.1 version


make sure your cuda is work fine with nvcc command.




We use Python 3.11.7


check python and pip with command line.


Install Pytorch https://pytorch.org/get-started/locally/


check pip list and check cuda available on your GPU with python shell.

if false it cannot use with NVIDIA GPU. find your problem. 



Install llama-cpp-python https://pypi.org/project/llama-cpp-python/


with CUDA 12.1 use this command.

on Jul 2,2024 version 0.2.81 but we use only 0.2.75 it's work fine. ( 0.2.81 not test on Windows11 yet ) 

pip install llama-cpp-python \
  --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121

pip list your library.


How to check your llama-cpp-python lib work with CUDA?

you use LLM code and load your LLM model to test llama-cpp-python lib.

my code test on jupyter notebook in VS code.

we try to load Llama3-Typhoon1.5-8b 4bit GGUF format from Hugging Face scb10x/llama-3-typhoon-v1.5-8b-instruct






When load model done. Check BLAS = 1 or not
if BLAS = 0 it's not use with cuda yet. find your problem.
But your can use with CPU only so it is very slow inference.

Now you can use llama-cpp-python library on your windows11.

Llama-cpp-python library with RTX4060 GPU on Ubuntu 22.04.03 LTS


Install NVDIA GPU Driver.

we use Nvidia-driver version 535



then check nvidia-smi command for check your GPU.

Install CUDA Toolkit.  https://developer.nvidia.com/cuda-downloads

we use CUDA 11.5 version



Install Pytorch https://pytorch.org/get-started/locally/



check pip list and check cuda available on your GPU with python shell.

if false it cannot use with NVIDIA GPU. find your problem. 



Install llama-cpp-python https://pypi.org/project/llama-cpp-python/

on Jul 2,2024 version 0.2.81 but we use only 0.2.32 it's work fine. ( 0.2.81 not test on Ubuntu yet )

Install  pip Command
CMAKE_ARGS="-DLLAMA_CUDA=on" pip install llama-cpp-python==0.2.32

pip list your library.


How to check your llama-cpp-python lib work with CUDA?

you use LLM code and load your LLM model to test llama-cpp-python lib.

my code test on jupyter notebook in VS code.

we try to load Llama3-Typhoon1.5-8b 4bit GGUF format from Hugging Face scb10x/llama-3-typhoon-v1.5-8b-instruct




When load model done. Check BLAS = 1 or not
if BLAS = 0 it's not use with cuda yet. find your problem.
But your can use with CPU only so it is very slow inference.

Now you can use llama-cpp-python library on your Ubuntu OS.

https://huggingface.co/Adun

Adun Nantakaew อดุลย์ นันทะแก้ว

LINE : adunnan

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