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llml is a terminal-based user interface published by Flying Nobita that is designed to help users discover local machine learning models and launch inference servers for them. According to its description, the software serves as a Terminal UI to discover local models and launch llama-server, vLLM, or Ollama, which places it in the category of local AI tooling and model management utilities. Its purpose is to simplify the workflow of working with locally hosted language models by providing a text-based interface through which available models on a machine can be located and then served using one of the supported backends. Rather than requiring users to manually identify model files and construct the appropriate server commands for each runtime, llml centralizes this process within a single terminal application. The primary use case for llml involves developers, researchers, or enthusiasts who run large language models on their own hardware and need a convenient way to manage the serving step of that workflow. The software supports three distinct launch targets: llama-server, which is associated with the llama.cpp ecosystem; vLLM, a high-throughput inference and serving engine; and Ollama, a popular tool for running models locally. By covering these three options, llml accommodates users whose preferences or hardware setups align with different serving stacks, all from within the same terminal interface. The current version of llml is 0.7.1, and the software has a total of five versions recorded, indicating an active development history with multiple published releases leading up to the present release. As a pre-1.0 project, llml is in an early stage of its version lifecycle, with version 0.7.1 representing the most recent iteration available from Flying Nobita. Users interested in a terminal-driven approach to discovering local models and starting llama-server, vLLM, or Ollama instances may find llml a relevant addition to their local AI toolchain.
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