Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp
Introduction
AFM-4.5B deployment on Google Cloud Axion with Llama.cpp
Provision a Google Cloud Axion Arm64 environment
Configure your Google Cloud Axion Arm64 environment
Build Llama.cpp on Google Cloud Axion Arm64
Install Python dependencies for Llama.cpp
Download and optimize the AFM-4.5B model for Llama.cpp
Run inference with AFM-4.5B using Llama.cpp
Benchmark and evaluate AFM-4.5B quantized models on Axion
Review your AFM-4.5B deployment on Axion
Next Steps
Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp
Introduction
AFM-4.5B deployment on Google Cloud Axion with Llama.cpp
Provision a Google Cloud Axion Arm64 environment
Configure your Google Cloud Axion Arm64 environment
Build Llama.cpp on Google Cloud Axion Arm64
Install Python dependencies for Llama.cpp
Download and optimize the AFM-4.5B model for Llama.cpp
Run inference with AFM-4.5B using Llama.cpp
Benchmark and evaluate AFM-4.5B quantized models on Axion
Review your AFM-4.5B deployment on Axion
Next Steps
In this step, you’ll configure your Google Cloud Axion Arm64 instance with the system packages and Python environment required to build and run the Arcee Foundation Model using Llama.cpp.
Update package lists
Run the following command to update your local APT package index:
sudo apt-get update
This ensures you have the most recent metadata about available packages, versions, and dependencies, helping to prevent conflicts when installing new software.
Install build tools and Python dependencies
Install the required build tools and Python environment:
sudo apt-get install cmake gcc g++ git python3 python3-pip python3-virtualenv libcurl4-openssl-dev unzip -y
This command installs the following:
- CMake: build system generator used to compile Llama.cpp
- GCC and G++: GNU C and C++ compilers for native code
- Git: version control system for cloning repositories
- Python 3: Python interpreter for running tools and scripts
- Pip: Python package manager
- Virtualenv: tool for creating isolated Python environments
- libcurl4-openssl-dev: development files for the curl HTTP library
- Unzip: utility to extract
.zipfiles
The -y flag automatically approves the installation of all packages without prompting.
Verify environment setup
After completing these steps, your instance includes:
- A complete C/C++ development environment for building Llama.cpp
- Python 3, pip, and virtualenv for managing Python tools
- Git for cloning repositories
- All required dependencies for compiling optimized Arm64 binaries
You’re now ready to build Llama.cpp and download the Arcee Foundation Model.