f7b5a093a7
* Update Dockerfile * Update Dockerfile * Ensure scripts are executable * Update Dockerfile * Update Dockerfile * Update Dockerfile * Update Dockerfile * Update Dockerfile * Update Dockerfile * update * Update Dockerfile * remove inference-cpu and inference-xpu * update README
46 lines
2.2 KiB
Markdown
46 lines
2.2 KiB
Markdown
# IPEX-LLM Docker Containers
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You can run IPEX-LLM containers (via docker or k8s) for inference, serving and fine-tuning on Intel CPU and GPU. Details on how to use these containers are available at [IPEX-LLM Docker Container Guides](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/DockerGuides/index.html).
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### Prerequisites
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- Docker on Windows or Linux
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- Windows Subsystem for Linux (WSL) is required if using Windows.
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### Quick Start
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#### Pull a IPEX-LLM Docker Image
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To pull IPEX-LLM Docker images from [Docker Hub](https://hub.docker.com/u/intelanalytics), use the `docker pull` command. For instance, to pull the CPU inference image:
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```bash
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docker pull intelanalytics/ipex-llm-serving-cpu:2.2.0-SNAPSHOT
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```
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Available images in hub are:
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| Image Name | Description |
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| --- | --- |
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| intelanalytics/ipex-llm-serving-cpu:2.2.0-SNAPSHOT | CPU Inference & Serving|
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| intelanalytics/ipex-llm-serving-xpu:2.2.0-SNAPSHOT | GPU Inference & Serving|
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| intelanalytics/ipex-llm-inference-cpp-xpu:2.2.0-SNAPSHOT | Run llama.cpp/Ollama/Open-WebUI on GPU via Docker|
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| intelanalytics/ipex-llm-finetune-qlora-xpu:2.2.0-SNAPSHOT| GPU Finetuning|
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| intelanalytics/ipex-llm-finetune-qlora-cpu-standalone:2.2.0-SNAPSHOT | CPU Finetuning via Docker|
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| intelanalytics/ipex-llm-finetune-qlora-cpu-k8s:2.2.0-SNAPSHOT|CPU Finetuning via Kubernetes|
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#### Run a Container
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Use `docker run` command to run an IPEX-LLM docker container. For detailed instructions, refer to the [IPEX-LLM Docker Container Guides](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/DockerGuides/index.html).
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#### Build Docker Image
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To build a Docker image from source, first clone the IPEX-LLM repository and navigate to the Dockerfile directory. For example, to build the CPU inference image, navigate to `docker/llm/inference/cpu/docker`.
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Then, use the following command to build the image (replace `your_image_name` with your desired image name):
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```bash
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docker build \
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--build-arg no_proxy=localhost,127.0.0.1 \
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--rm --no-cache -t your_image_name .
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```
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> Note: If you're working behind a proxy, also add args `--build-arg http_proxy=http://your_proxy_uri:port` and `--build-arg https_proxy=https://your_proxy_url:port`
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