2日前 -... Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. git clone https://github.com/ggerganov/llama.cpp. Step 2: Move into the llama.cpp folder and ...
3日前 -This is similar to the Apple Silicon benchmark thread, but for Vulkan! We'll be testing the Llama 2 7B model like the other thread to keep things consistent ...
3日前 -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 ...
4日前 -Fork of llama.cpp, started in June 2024 and last synced in August 2024. It adds SOTA quantization types and often better performance.
4日前 -Run in llama.cpp. git clone https://github.com/ggerganov/llama.cpp cmake llama.cpp -B llama.cpp/build -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON cmake --build llama ...
2日前 -Step 1: Clone llama.cpp from GitHub. git clone https://github.com/ggerganov/llama.cpp. Step 2: Move into the llama.
2日前 -llama.cpp fork for significantly improved performance on Ampere generation Nvidia cards (especially RTX 3090 / 3090 Ti): example: 110+ tok/s over a ...
1日前 -Run the following shell commands to pull the source tree and initialize your build directory: git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp ...
5日前 -cpp — MIT-licensed llama.cpp fork focused on CPU speed and state-of-the-art ... git clone https://github.com/ggerganov/whisper.cpp cd whisper.cpp ...