Updates:
- Improve documentation - Clean dependencies - Use the official oneAPI Base Toolkit Breaking change: - Container name changed to ollama-intel-arc
This commit is contained in:
50
Dockerfile
50
Dockerfile
@@ -17,52 +17,36 @@ RUN apt update && \
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python3-dev \
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cmake
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# Install IPEX-LLM on Linux with Intel GPU
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# Install Client GPUs
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# Reference: https://dgpu-docs.intel.com/driver/client/overview.html#installing-client-gpus-on-ubuntu-desktop-24-04-lts
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RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
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gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg && \
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echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy client" | \
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tee /etc/apt/sources.list.d/intel-gpu-jammy.list && \
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gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg && \
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echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu noble unified" | \
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tee /etc/apt/sources.list.d/intel-gpu-noble.list && \
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apt update && \
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apt install -y libze-intel-gpu1 libze1 intel-opencl-icd clinfo intel-gsc && \
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apt install -y libze-dev intel-ocloc && \
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apt install --no-install-recommends -q -y \
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udev \
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level-zero \
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libigdgmm12 \
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intel-level-zero-gpu \
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intel-opencl-icd
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libigdgmm12
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# Install OneAPI packages
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RUN wget -qO - https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | \
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gpg --dearmor --output /usr/share/keyrings/oneapi-archive-keyring.gpg && \
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echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | \
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# Install oneAPI Base Toolkit
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# Reference: https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html?packages=oneapi-toolkit&oneapi-toolkit-os=linux&oneapi-lin=apt
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RUN apt update && \
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apt install -y gpg-agent wget && \
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wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | \
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gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && \
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echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | \
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tee /etc/apt/sources.list.d/oneAPI.list && \
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apt update && \
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apt install --no-install-recommends -q -y \
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intel-oneapi-common-vars \
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intel-oneapi-common-oneapi-vars \
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intel-oneapi-diagnostics-utility \
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intel-oneapi-compiler-dpcpp-cpp \
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intel-oneapi-dpcpp-ct \
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intel-oneapi-mkl \
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intel-oneapi-mkl-devel \
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intel-oneapi-mpi \
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intel-oneapi-mpi-devel \
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intel-oneapi-dal \
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intel-oneapi-dal-devel \
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intel-oneapi-ippcp \
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intel-oneapi-ippcp-devel \
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intel-oneapi-ipp \
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intel-oneapi-ipp-devel \
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intel-oneapi-tlt \
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intel-oneapi-ccl \
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intel-oneapi-ccl-devel \
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intel-oneapi-dnnl-devel \
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intel-oneapi-dnnl \
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intel-oneapi-tcm-1.0
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apt install -y intel-oneapi-base-toolkit
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# Install serve.sh script
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COPY ./scripts/serve.sh /usr/share/lib/serve.sh
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# Install ipex-llm[cpp] using pip
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# Reference: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/llama_cpp_quickstart.md#1-install-ipex-llm-for-llamacpp
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RUN pip install --pre --upgrade ipex-llm[cpp]
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# Set entrypoint to run the serve.sh script
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78
README.md
78
README.md
@@ -1,4 +1,4 @@
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# ollama-intel-arc
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# Run Ollama using your Intel Arc GPU
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A Docker-based setup for running Ollama as a backend and Open WebUI as a frontend, leveraging Intel Arc Series GPUs on Linux systems.
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@@ -13,34 +13,92 @@ This repository provides a convenient way to run Ollama as a backend and Open We
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* Built following the guidelines from [Intel](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/llama_cpp_quickstart.md).
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* Uses [Ubuntu 24.04 LTS](https://ubuntu.com/blog/tag/ubuntu-24-04-lts), Ubuntu's latest stable version, as a container.
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* Uses the latest versions of required packages, prioritizing cutting-edge features over stability.
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* Exposes port `11434` for connecting other tools to your Ollama service.
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* To validate this setup, run: `curl http://localhost:11434/`
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* Exposes port `11434` for connecting other tools to your Ollama service.
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2. Open WebUI
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* The official distribution of Open WebUI.
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* `WEBUI_AUTH` is turned off for authentication-free usage.
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* `ENABLE_OPENAI_API` and ENABLE_OLLAMA_API flags are set to off and on, respectively, allowing interactions via Ollama only.
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* `ENABLE_OPENAI_API` and `ENABLE_OLLAMA_API` flags are set to off and on, respectively, allowing interactions via Ollama only.
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## Setup
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### Fedora
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Run the following commands to start your Ollama instance
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```bash
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$ git clone https://github.com/eleiton/ollama-intel-arc.git
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$ cd ollama-intel-arc
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$ podman compose up
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```
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### Others (Ubuntu 24.04 or newer)
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## Validate
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You should see this partial output in your console, indicating your arc gpu was detected
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```bash
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$ git clone https://github.com/eleiton/ollama-intel-arc.git
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$ cd ollama-intel-arc
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$ docker compose up
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[ollama-intel-arc] | Found 1 SYCL devices:
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[ollama-intel-arc] | | | | | |Max | |Max |Global | |
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[ollama-intel-arc] | | | | | |compute|Max work|sub |mem | |
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[ollama-intel-arc] | |ID| Device Type| Name|Version|units |group |group|size | Driver version|
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[ollama-intel-arc] | |--|-------------------|---------------------------------------|-------|-------|--------|-----|-------|---------------------|
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[ollama-intel-arc] | | 0| [level_zero:gpu:0]| Intel Arc Graphics| 12.71| 128| 1024| 32| 62400M| 1.6.32224+14|
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```
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Run the following command to verify your Ollama instance is up and running
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```bash
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$ curl http://localhost:11434/
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Ollama is running
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```
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## Usage
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* Run the services using the setup instructions above.
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* Open your web browser to http://localhost:3000 to access the Open WebUI web page.
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* For more information on using Open WebUI, refer to the official documentation at https://docs.openwebui.com/ .
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## Updating the images
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Before any updates, be sure to stop your containers
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```bash
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$ podman compose down
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```
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### ollama-intel-arc Image
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If there are new updates in ipex-llm[cpp] or oneAPI or GPU drivers, you may want to update the Ollama image and containers, to stay updated.
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First check any containers running the docker image, and remove them
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```bash
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$ podman ps -a
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CONTAINER ID IMAGE
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111479fde20f localhost/ollama-intel-arc:latest
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$ podman rm <CONTAINER ID>
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```
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The go ahead and remove the docker image:
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```bash
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$ podman image list
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REPOSITORY TAG
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localhost/ollama-intel-arc latest
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$ podman rmi <IMAGE ID>
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```
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After that, you can run compose up, to rebuild the image from scratch
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```bash
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$ podman compose up
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```
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### open-webui Image
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If there are new updates in Open WebUI, just do a pull and the new changes will be retrieved automatically.
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```bash
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$ podman compose pull
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```
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## Manually connecting to your Ollama container
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You can connect directly to your Ollama container by running these commands:
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```bash
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$ podman exec -it ollama-intel-arc /bin/bash
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> source /opt/intel/oneapi/setvars.sh
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> /usr/local/lib/python3.12/dist-packages/bigdl/cpp/libs/ollama -v
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```
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## My development environment:
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* Core Ultra 7 155H
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* Intel® Arc™ Graphics (Meteor Lake-P)
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* Fedora 40
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## References
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* [Intel guidelines for installing Linux GPU support](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/install_linux_gpu.md)
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* [Open WebUI documentation](https://docs.openwebui.com/)
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* [Ollama Quickstart](https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/ollama_quickstart.md)
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@@ -1,11 +1,9 @@
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version: "1.0"
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version: '3'
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services:
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ollama-ipex-llm:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: ollama-ipex-llm
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image: ollama-ipex-llm:latest
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ollama-intel-arc:
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build: .
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image: ollama-intel-arc:latest
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container_name: ollama-intel-arc
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restart: unless-stopped
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devices:
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- /dev/dri:/dev/dri
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@@ -19,7 +17,7 @@ services:
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volumes:
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- open-webui-volume:/app/backend/data
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depends_on:
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- ollama-ipex-llm
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- ollama-intel-arc
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ports:
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- 3000:8080
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environment:
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@@ -1,10 +1,15 @@
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#!/bin/sh
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source /opt/intel/oneapi/setvars.sh
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export USE_XETLA=OFF
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# Reference: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/ollama_quickstart.md#3-run-ollama-serve
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export OLLAMA_NUM_GPU=999
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export no_proxy=localhost,127.0.0.1
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export ZES_ENABLE_SYSMAN=1
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source /opt/intel/oneapi/setvars.sh
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export SYCL_CACHE_PERSISTENT=1
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# [optional] under most circumstances, the following environment variable may improve performance, but sometimes this may also cause performance degradation
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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# [optional] if you want to run on single GPU, use below command to limit GPU may improve performance
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export ONEAPI_DEVICE_SELECTOR=level_zero:0
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/usr/local/lib/python3.12/dist-packages/bigdl/cpp/libs/ollama serve
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