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The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in ...
- ReleasesLLM inference in C/C++. Contribute to ggml-org/llama ...
- Build llama.cpp locallyBuild llama.cpp locally. The main product of this project is the ...
- README.mdThe main goal of llama.cpp is to enable LLM (and VLM ...
- Llama.cpp models docThe Hugging Face platform provides a variety of online tools ...
- Pull requestsLLM inference in C/C++. Contribute to ggml-org/llama ...
- Install.mdLLM inference in C/C++. Contribute to ggml-org/llama ...
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 ...
llama.cpp based on SYCL is used to support Intel GPU (Data Center Max series, Flex series, Arc series, Built-in GPU and iGPU).
Llama.cpp is a inference engine written in C/C++ that allows you to run large language models (LLMs) directly on your own hardware compute. It was originally ...
llama.cpp is an open-source software library that performs inference on various large language models such as Meta's Llama model.
Scripts for monitoring llama.cpp development. README-compile-times.md - Compile time measurements; README-todo-counts.md - TODO/FIXME ...
llama.cpp has an AI security scanner that scans the code periodically. The full prompts and tool set can be found in ggml-org/security-scan-prompt.