8時間前 -LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
2026/10/13 -The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud ...
5日前 -As of May 2026 , it has more than 109,000 stars on GitHub. On April 30, 2024, support for FlashAttention was added. On April 10, 2025 ...
4日前 -Prebuilt binaries of llama.cpp with support for the ricursive architecture (ricursiveAI/Ripple-65B-Preview), which is not in upstream llama.cpp yet (PR ...
2026/10/24 -Install llama-cpp-python with uv or pip using CPU, CUDA, or Metal wheels, with source fallbacks and uv project configuration.
2026/10/21 -Version 0.4.0 adds one recommended Generate node and bounded graph composition while preserving all 17 released 0.3 node contracts.
6日前 -Set of LLM REST APIs and a web UI to interact with llama.cpp. **Features:**. * LLM inference of F16 and quantized models ...
4日前 -Install the prebuilt llama.cpp binaries. You do not need a compiler. Every llama.cpp build on GitHub ships prebuilt tarballs for Ubuntu x64 (CPU, Vulkan ...
2026/10/16 -This is an exact mirror of the llama.cpp project, hosted at https://github.com/ggml-org/llama.cpp. SourceForge is not affiliated with llama.cpp.
2026/10/26 -llama.cpp runs large language models on ordinary hardware. It is written in C and C++ with few dependencies and supports CPUs, Apple Metal, NVIDIA CUDA, AMD ...