🍋 Lemonade: Refreshingly fast local AI

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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.

Getting Started

1. Install: Windows · Linux · macOS · Docker · Source
2. Get Models: Browse and download with the Model Manager
3. Generate: Try models with the built-in interfaces for chat, image gen, speech gen, and more
4. Mobile: Take your lemonade to go: iOS · Android · Source
5. Connect: Use Lemonade with your favorite apps:

                  

Want your app featured here? Just submit a marketplace PR!

Supported Platforms

Using the CLI

To run and chat with Gemma:

lemonade run Gemma-4-E2B-it-GGUF

To code with Lemonade models:

lemonade launch claude

Multi-modality:

# 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.

Browse all built-in models →

Supported Configurations

Lemonade supports multiple inference engines for LLM, speech, TTS, and image generation, and each has its own backend and hardware requirements.

To check exactly which recipes/backends are supported on your own machine, run:

lemonade backends

* See supported AMD ROCm platforms

Architecture	Platform Support	GPU Models
gfx1151 (STX Halo)	Windows, Ubuntu	Ryzen AI MAX+ Pro 395
gfx120X (RDNA4)	Windows, Ubuntu	Radeon AI PRO R9700, RX 9070 XT/GRE/9070, RX 9060 XT
gfx110X (RDNA3)	Windows, Ubuntu	Radeon PRO W7900/W7800/W7700/V710, RX 7900 XTX/XT/GRE, RX 7800 XT, RX 7700 XT

** See supported NVIDIA CUDA platforms

Compute Capability	Architecture	GPU Models
sm_75	Turing	RTX 20-series, GTX 16-series, T4
sm_80 / sm_86	Ampere	RTX 30-series, A100, A40
sm_89	Ada Lovelace	RTX 40-series, L40, L4
sm_90	Hopper	H100, H200
sm_100 / sm_120	Blackwell	RTX 50-series, B100, B200

Project Roadmap

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.

Check out the Embeddable Lemonade guide.

Connect Lemonade Server to Your Application

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.

Python Client Example

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)

Click to learn more about the available APIs and how to embed Lemonade in your own application.

FAQ

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.

Code Signing Policy

Free code signing provided by SignPath.io, certificate by SignPath Foundation.

• Committers and reviewers: Maintainers of this repo
• Approvers: Owners

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,
• Standing on the shoulders of great tools from:
  • ggml/llama.cpp
  • ggml/whisper.cpp
  • ggml/stable-diffusion.cpp
  • kokoros
  • OnnxRuntime GenAI
  • Hugging Face Hub
  • ModelScope
  • OpenAI API
  • IRON/MLIR-AIE
  • and more...
• Licensed under the Apache 2.0 License.
  • Portions of the project are licensed as described in LICENSE.