Andriy Oblivantsev
96913a2a18
- level-zero v1.22.4 -> v1.28.0 - IGC v2.11.7 -> v2.28.4 - compute-runtime 25.18.33578.6 -> 26.05.37020.3 - libigdgmm 22.7.0 -> 22.9.0 - ipex-llm ollama nightly 2.3.0b20250612 -> 2.3.0b20250725 - Docker compose: disable webui auth, stateless webui volume - README formatting and GPU model update Co-authored-by: Cursor <cursoragent@cursor.com>
2.2 KiB
Ollama for Intel GPU
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This repo illustrates the use of Ollama with support for Intel ARC GPU based via ipex-llm and Ollama Portable ZIP support. Run the recently released deepseek-r1 model on your local Intel ARC GPU based PC using Linux
!Note: All Ollama based ipex-llm defects should be reported directly to the ipex-llm project at https://github.com/intel/ipex-llm
Screenshot
Prerequisites
- Ubuntu 24.04 or newer (for Intel ARC GPU kernel driver support. Tested with Ubuntu 24.04.02
- Installed Docker and Docker-compose tools
- Intel ARC series GPU (tested with Intel ARC A770 16GB and Intel(R) Core(TM) Ultra 5 155H integrated GPU)
Usage
The following will build the Ollama with Intel ARC GPU support, and compose those with the public docker image based on OpenWEB UI from https://github.com/open-webui/open-webui
Linux
git clone https://github.com/mattcurf/ollama-intel-gpu
cd ollama-intel-gpu
docker compose up
!NOTE If you have multiple GPU's installed (like integrated and discrete), set the ONEAPI_DEVICE_DELECTOR environment variable in the docker compose file to select the intended device to use.
Then launch your web browser to http://localhost:3000 to launch the web ui. Create a local OpenWeb UI credential, then click the settings icon in the top right of the screen, then select 'Models', then click 'Show', then download a model like 'llama3.1:8b-instruct-q8_0' for Intel ARC A770 16GB VRAM
Update to the latest IPEX-LLM Portable Zip Version
To update to the latest portable zip version of IPEX-LLM's Ollama, update the compose file with the build arguments shown below, using the latest ollama-*.tgz release from https://github.com/intel/ipex-llm/releases/tag/v2.3.0-nightly , then rebuild the image.