: Supports features like continuous batching, speculative decoding, parallel decoding with multi-user support, and schema-constrained JSON responses. Basic Command-Line Usage
: You can find detailed API documentation and setup guides in the llama.cpp server README . server.exe
: It supports inference for F16 and quantized models on both GPU and CPU. : Add -c 2048 to define the context window (e
: Add -c 2048 to define the context window (e.g., 2048 tokens). The executable server
: Run server.exe -h to see a full list of available parameters. Troubleshooting & Alternatives
: If you need to install or remove it as a Windows service, commands like -install or -remove are sometimes used depending on the specific application version.
The executable server.exe is most commonly associated with , where it acts as a lightweight, fast HTTP server for Large Language Model (LLM) inference. It allows you to host models locally and interact with them via a web browser UI or REST APIs. Common Uses & Features