Open-weight language models get a private chat service on your own server, and llama.cpp serves its browser UI the moment the server starts. Conversations appear in a sidebar with search, and each answer shows its token count, generation time, and tokens per second, so you can see how a model really performs. Code replies render in highlighted blocks with a copy button, and messages can be edited, regenerated, forked, or deleted. A Models page lists what the server can run with context sizes and load status, and Settings cover themes, system messages, display options, tools, agentic behavior, import and export, and sampling controls for temperature, top K, top P, and penalties. Remote MCP servers connect by URL, and uploads let multimodal models read files and images. Behind the UI sit OpenAI and Anthropic compatible chat endpoints, embeddings, reranking, function calling, JSON schema constrained output, parallel decoding, and continuous batching for several users at once. Quantized models run on plain CPUs, and official images cover CUDA, ROCm, Vulkan, and other accelerators. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.