This is the Linux app named Lemonade whose latest release can be downloaded as v8.1.12sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Téléchargez et exécutez en ligne cette application nommée Lemonade avec OnWorks gratuitement.
Suivez ces instructions pour exécuter cette application :
- 1. Téléchargé cette application sur votre PC.
- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.
- 3. Téléchargez cette application dans ce gestionnaire de fichiers.
- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.
- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.
- 6. Téléchargez l'application, installez-la et exécutez-la.
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Limonade
DESCRIPTION
Lemonade is a local LLM runtime that aims to deliver the highest possible performance on your own hardware by auto-configuring state-of-the-art inference engines for both NPUs and GPUs. The project positions itself as a “local LLM server” you can run on laptops and workstations, abstracting away backend differences while giving you a single place to serve and manage models. Its README emphasizes real-world adoption across startups, research groups, and large companies, signaling a focus on practical deployments rather than toy demos. The repository highlights easy onboarding with downloads, docs, and a Discord for support, suggesting an active user community. Messaging centers on squeezing maximum throughput/latency from modern accelerators without users having to hand-tune kernels or flags. Releases further reinforce the “server” framing, pointing developers toward a service that can be integrated into apps and tools.
Comment ça marche
- Local LLM server targeting GPU and NPU acceleration
- Auto-configuration of high-performance inference backends
- Simple install and run flow with guided documentation
- Community support via Discord and active issue tracking
- Works across research, startup, and enterprise use cases
- Designed to be a drop-in foundation for local AI apps
Langage de programmation
Python
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/lemonade.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
