Lemonade is the local AI server that gives you the same capabilities as cloud APIs, except 100% free and private. Use the latest models for chat, coding, speech, and image generation on your own NPU and GPU.
Lemonade comes in two flavors:
Lemonade Server installs a service you can connect to hundreds of great apps using standard OpenAI, Anthropic, and Ollama APIs.
Embeddable Lemonade is a portable binary you can package into your own application to give it multi-modal local AI that auto-optimizes for your user’s PC.
This project is built by the community for every PC, with optimizations by AMD engineers to get the most from Ryzen AI, Radeon, and Strix Halo PCs.
# image gen
lemonade run SDXL-Turbo
# speech gen
lemonade run kokoro-v1
# transcription
lemonade run Whisper-Large-v3-Turbo
To see available models and download them:
lemonade list
lemonade pull Gemma-4-E2B-it-GGUF
To manage model aliases for environment-independent naming and active-standby failover:
lemonade alias add production-llm Gemma-4-E2B-it-GGUF
lemonade alias list
# Instant active-standby failover to a different model target
lemonade alias add production-llm Qwen3-0.6B-GGUF
lemonade alias remove production-llm
To see the backends available on your PC:
lemonade backends
For hybrid setups, Lemonade can also route to any OpenAI-compatible cloud provider (Fireworks, OpenAI, OpenRouter, Together, …) alongside local models — see Cloud Offload. (Experimental.)
Model Library
Lemonade supports a wide variety of LLMs (GGUF, FLM, and ONNX), whisper, stable diffusion, etc. models across CPU, GPU, and NPU.
Use lemonade pull or the built-in Model Manager to download models. Custom GGUF/ONNX models can be pulled from Hugging Face or ModelScope, with their source retained for future updates.
Lemonade's roadmap is defined by a set of working groups. Visit the landing page here to learn each group's goal and roadmap.
Integrate Embeddable Lemonade in Your Application
Embeddable Lemonade is a binary version of Lemonade that you can bundle into your own app to give it a portable, auto-optimizing, multi-modal local AI stack. This lets users focus on your app, with zero Lemonade installers, branding, or telemetry.
You can use any OpenAI-compatible client library by configuring it to use http://localhost:13305/v1 as the base URL. A table containing official and popular OpenAI clients on different languages is shown below.
Feel free to pick and choose your preferred language.
from openai import OpenAI
# Initialize the client to use Lemonade Server
client = OpenAI(
base_url="http://localhost:13305/api/v1",
api_key="lemonade" # required but unused
)
# Create a chat completion
completion = client.chat.completions.create(
model="Gemma-4-E2B-it-GGUF", # or any other available model
messages=[
{"role": "user", "content": "What is the capital of France?"}
]
)
# Print the response
print(completion.choices[0].message.content)
To read our frequently asked questions, see our FAQ Guide
Contributing
Lemonade is built by the local AI community! If you would like to contribute to this project, please check out our contribution guide.
Maintainers
This is a community project with many maintainers, please see the maintainers list here to see their subject areas. You can reach us by filing an issue or joining our Discord. This project is sponsored by AMD.
Privacy policy: This program will not transfer any information to other networked systems unless specifically requested by the user or the person installing or operating it. When the user requests a model download or registry lookup, Lemonade may contact Hugging Face Hub (see their privacy policy) or ModelScope, according to the model source selected by the user or packager.
License and Attribution
This project is:
Built with C++ (server) and React (app) with ❤️ for the open source community,
