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llama cli -h prints every option. The flags shown here are the ones you'll use most; the full reference documents more advanced settings.
2026/1/9 -For my laptop it's basically just llama-server --cache-type-k q8_0 --cache-type-v q8_0 and the model I want, sometimes with some context config ...
2026/10/19 -... options: 'docker:<image>', 'podman:<image>': spin up a new container and reuse it for all invocations, clean up on server exit 'docker ...
2026/1/8 -A couple days ago, I got my DGX spark, and am trying to move from Ollama (which I have used for a while and am familiar with) to llama.cpp. I'm ...
... llama.cpp, explaining the most important options and how to configure them for the best performance. Whether you're running AI models on a ...
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The precedence rule for preset options is as follows: Command-line arguments passed to llama-server (highest priority); Model-specific options defined in the ...
In this guide, we will show how to “use” llama.cpp to run models on your local machine, in particular, the llama-cli and the llama-server example program, ...
2024/5/19 -llama-cpp (server) · usage: ./server [options] · options: · -h, --help show this help message and exit · -v, --verbose verbose output (default: ...
Install llama.cpp, run GGUF models with llama-cli, and serve an OpenAI-compatible API with llama-server. Flags, examples, and tuning.