languagemodels is a lightweight Python library designed to simplify experimentation with large language models while maintaining extremely low hardware requirements. The project focuses on enabling developers and students to explore language model capabilities without needing expensive GPUs or large cloud infrastructures. By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of memory. The package provides simple APIs that allow developers to generate text, perform semantic search, classify text, and answer questions using local models. It is particularly useful for educational purposes, as it demonstrates the fundamental mechanics of language model inference and prompt-based applications. The repository includes multiple example applications such as chatbots, document question answering systems, and information retrieval tools.
Features
- Lightweight Python library for running language models locally
- Low memory requirements enabling experimentation on modest hardware
- Simple APIs for text generation and conversational interfaces
- Examples demonstrating chatbots and document question answering
- Support for semantic search and information retrieval tasks
- Tools for exploring LLM capabilities in educational environments