Create a BattleMage QuickStart #12663
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jason-dai
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Jan 8, 2025
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| ### 1.2 Install IPEX-LLM |
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In addition to ipex-llm[xpu] for PyTorch, need to also add ipex-llm[cpp] for llama.cpp/ollama
jason-dai
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Jan 8, 2025
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| #### For llama.cpp and Ollama: | ||
| Install the `ipex-llm[cpp]` package. Choose either the US or CN website for `extra-index-url`: |
jason-dai
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Jan 8, 2025
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| ### 1.3 Verify Installation |
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This only works for PyTorch
jason-dai
reviewed
Jan 8, 2025
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| #### For llama.cpp and Ollama: | ||
| Install the `ipex-llm[cpp]` package. Choose either the US or CN website for `extra-index-url`: |
jason-dai
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Jan 8, 2025
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| ### 2.3 Verify Installation |
jason-dai
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| ## 3. Run a Quick Example |
jason-dai
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Jan 8, 2025
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| # Quickstart: Install and Use IPEX-LLM on Intel Battlemage B580 GPU | |||
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Intel Arc B-Series GPU (code-named Battlemage)
jason-dai
reviewed
Jan 8, 2025
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| # Quickstart: Install and Use IPEX-LLM on Intel Battlemage B580 GPU | |||
| # Quickstart: Install and Use IPEX-LLM on Intel Arc B-Series GPU (code-named Battlemage) | |||
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| This guide demonstrates how to install and use IPEX-LLM on the Intel Battlemage B580 GPU. It covers both **Linux** and **Windows** operating systems. | |||
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Intel Arc B-Series GPU (code-named Battlemage)
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Description
1. Why the change?
This PR provides a QuickStart guide for users to set up IPEX-LLM on the Intel Battlemage B580 GPU. It includes installation instructions for both Linux and Windows, verification steps, and a sample test. Additionally, it offers usage references for benchmark, llama.cpp, Ollama, and vLLM, providing a comprehensive entry point for BattleMage users.
2. User API changes
3. Summary of the change
4. How to test?
1234). And paste your action link here once it has been successfully finished.5. New dependencies
- Dependency1
- Dependency2
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- Dependency1 and license1
- Dependency2 and license2
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