Overview
lemonade Introduction
Lemonade is a Local LLM Server with NPU Acceleration designed to serve, benchmark, and deploy large language models (LLMs) across various hardware platforms, including CPU, GPU, and NPU.
How to Use
To use Lemonade, you can install it on Windows or Linux, utilize the Lemonade Server for API integration, and leverage the Lemonade Python API for easy integration into Python applications. The CLI allows for experimentation with different LLMs and frameworks.
Key Features
Key features of Lemonade include a server interface compatible with the Open AI API, high-level and low-level Python APIs for integration, and a CLI for running experiments, measuring accuracy, benchmarking performance, and profiling memory usage.
Where to Use
Lemonade can be used in various fields such as natural language processing, AI research, application development, and any domain requiring the deployment of large language models.
Use Cases
Use cases for Lemonade include serving LLMs in applications, conducting performance benchmarks, testing model accuracy, and experimenting with different LLM configurations and frameworks.
Content
MarkItDown MCP
semantic-kernel
repomix
Context 7
Github MCP
