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Update build.md

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Ravi Panchumarthy 2025-07-30 19:34:10 -07:00 committed by Mustafa Cavus
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@ -707,7 +707,7 @@ Follow the instructions below to install OpenVINO runtime and build llama.cpp wi
- Linux or Windows system with Intel hardware (CPU, GPU, or NPU)
- **For Intel GPU or NPU Usage**: Install the appropriate hardware drivers for your Intel GPU or NPU. For detailed instructions, see: [Additional Configurations for Hardware Acceleration](https://docs.openvino.ai/2025/get-started/install-openvino/configurations.html).
- Git, CMake, and Ninja software tools are needed for building
- Git, CMake, and Ninja software tools are needed for building.
```bash
sudo apt-get update
sudo apt-get install -y build-essential libcurl4-openssl-dev libtbb12 cmake ninja-build python3-pip curl wget tar
@ -715,10 +715,10 @@ Follow the instructions below to install OpenVINO runtime and build llama.cpp wi
### 1. Install OpenVINO Runtime
- Follow the guide to install OpenVINO Runtime from an archive file: **[Install OpenVINO™ Runtime on Linux from an Archive File.](https://docs.openvino.ai/2025/get-started/install-openvino/install-openvino-archive-linux.html)**
- Follow the guide to install OpenVINO Runtime from an archive file: [Linux](https://docs.openvino.ai/2025/get-started/install-openvino/install-openvino-archive-linux.html) | [Windows](https://docs.openvino.ai/2025/get-started/install-openvino/install-openvino-archive-windows.html)
<details>
<summary>📦 Click to expand OpenVINO 2025.2 installation commands</summary>
<summary>📦 Click to expand OpenVINO 2025.2 installation commands on Linux</summary>
<br>
```bash
@ -792,7 +792,6 @@ export GGML_OPENVINO_DEVICE=GPU
To run in chat mode:
```bash
export GGML_OPENVINO_CACHE_DIR=/tmp/ov_cache
./build/ReleaseOV/bin/llama-cli -m ~/models/Llama-3.2-1B-Instruct.fp16.gguf -n 50 "The story of AI is "
```
@ -818,6 +817,7 @@ export GGML_OPENVINO_PROFILING=1
./build/ReleaseOV/bin/llama-simple -m ~/models/Llama-3.2-1B-Instruct.fp16.gguf -n 50 "The story of AI is "
```
> **Note:** To apply your code changes, clear the `GGML_OPENVINO_CACHE_DIR` directory and rebuild the project.
### Using Llama.cpp's Built-in CPU Backend (for Comparison)