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The main goal of llama.cpp is to run the LLaMA model using 4-bit integer quantization on a MacBook * Plain C/C++ implementation without dependencies * Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks * AVX, AVX2 and AVX512 support for x86 architectures * Mixed F16 / F32 precision * 2-bit, 3-bit, 4-bit, 5-bit, 6-bit and 8-bit integer quantization support * CUDA, Metal and OpenCL GPU backend support The original implementation of llama.cpp was hacked in an evening. Since then, the project has improved significantly thanks to many contributions. This project is mainly for educational purposes and serves as the main playground for developing new features for the ggml library.
Package | Summary | Distribution | Download |
llama-cpp-b3837-4.fc42.aarch64.html | Port of Facebook's LLaMA model in C/C++ | Fedora Rawhide for aarch64 | llama-cpp-b3837-4.fc42.aarch64.rpm |
llama-cpp-b3837-4.fc42.x86_64.html | Port of Facebook's LLaMA model in C/C++ | Fedora Rawhide for x86_64 | llama-cpp-b3837-4.fc42.x86_64.rpm |
llama-cpp-b3561-1.fc40.aarch64.html | Port of Facebook's LLaMA model in C/C++ | Fedora 40 updates for aarch64 | llama-cpp-b3561-1.fc40.aarch64.rpm |
llama-cpp-b3561-1.fc40.x86_64.html | Port of Facebook's LLaMA model in C/C++ | Fedora 40 updates for x86_64 | llama-cpp-b3561-1.fc40.x86_64.rpm |
llama-cpp-b2879-7.fc41.aarch64.html | Port of Facebook's LLaMA model in C/C++ | Fedora 41 for aarch64 | llama-cpp-b2879-7.fc41.aarch64.rpm |
llama-cpp-b2879-7.fc41.x86_64.html | Port of Facebook's LLaMA model in C/C++ | Fedora 41 for x86_64 | llama-cpp-b2879-7.fc41.x86_64.rpm |
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