Lms | Awesome Repository

This project is a headless large language model inference engine and server manager designed for local deployments. It provides a developer toolkit and API gateway that allows for the management of model lifecycles and inference tasks without a graphical user interface.

The system enables the deployment of model engines across different operating systems, cloud environments, or CI pipelines. It includes a command-line interface for bootstrapping development projects and automating the orchestration of loading and unloading model binaries based on specific workflow needs.

The toolset covers infrastructure monitoring through real-time state-streaming logs and application status checks. It further provides a standardized network interface to expose inference capabilities to external software development kits.

Features

Headless Implementations - Runs large language models locally without a GUI, exposing them via an HTTP API for integration.
Local Inference Engines - Runs large language models entirely on the local machine without any cloud dependency or internet connection.
Server Managers - Starts, stops, and monitors local inference servers, loading and unloading models for headless deployments.

Features

Headless Implementations - Runs large language models locally without a GUI, exposing them via an HTTP API for integration.
Local Inference Engines - Runs large language models entirely on the local machine without any cloud dependency or internet connection.
Server Managers - Starts, stops, and monitors local inference servers, loading and unloading models for headless deployments.