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Distributed Llama is an open-source project that enables users to connect multiple home devices into a powerful cluster to accelerate Large Language Model (LLM) inference. By leveraging tensor parallelism and high-speed synchronization over Ethernet, it allows for faster performance as more devices are added to the cluster. The system supports various operating systems, including Linux, macOS, and Windows, and is optimized for both ARM and x86_64 AVX2 CPUs.
Features
- Cluster formation with multiple home devices
- Acceleration of LLM inference
- Tensor parallelism implementation
- High-speed Ethernet synchronization
- Support for Linux, macOS, and Windows
- Optimization for ARM and x86_64 AVX2 CPUs
- Scalability with additional devices
- Open-source availability
- Active community support
Project Samples
Categories
LLM InferenceLicense
MIT LicenseFollow Distributed Llama
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