DeepSeek-R1 7b is Now a Module on the Lilypad Network!

Big news for developers and researchers! DeepSeek-R1 7b and DeepSeek-R1 1.5b, powerful open source reasoning models, are now running as modules on the Lilypad Network! By using these modules in AI workflows, developers can be sure their data is not being collected by a large centralized entity while using decentralized infrastructure to run the high performance DeepSeek R1 modules.

DeepSeek R1 on Lilypad is more than just a technical milestone—it’s a step toward making advanced, open source AI accessible to everyone, powered by a decentralized network.

Whether you’re building agent workflows, generating complex insights, or building AI-driven applications, DeepSeek R1 on Lilypad opens up a world of possibilities!

Why Choose Lilypad for DeepSeek-R1?

By running DeepSeek-R1 on Lilypad, you’re leveraging the power of decentralized compute for faster, more scalable AI workflows. With DeepSeek R1 on Lilypad, developers can scale to running large amounts of inference jobs at once, all while reducing reliance on costly centralized servers.

• Frictionless AI Access: From installation to execution, Lilypad makes it simple to deploy and manage AI models like DeepSeek R1.

• Cost-Effective Compute: Lilypad's decentralized network saves you money while delivering the speed and reliability you need.

• Developer-First Design: Whether you’re a seasoned AI engineer or just getting started, Lilypad’s tools and APIs are built to empower your workflow.

Get Started

Using the Lilypad CLI

Install the Lilypad CLI (directions below):

# Detect your machine's architecture and set it as $OSARCH
OSARCH=$(uname -m | awk '{if ($0 ~ /arm64|aarch64/) print "arm64"; else if ($0 ~ /x86_64|amd64/) print "amd64"; else print "unsupported_arch"}') && export OSARCH;
# Detect your operating system and set it as $OSNAME
OSNAME=$(uname -s | awk '{if ($1 == "Darwin") print "darwin"; else if ($1 == "Linux") print "linux"; else print "unsupported_os"}') && export OSNAME;
# Download the latest production build
curl https://api.github.com/repos/lilypad-tech/lilypad/releases/latest | grep "browser_download_url.*lilypad-$OSNAME-$OSARCH-cpu" | cut -d : -f 2,3 | tr -d \" | wget -i - -O lilypad

# Make Lilypad executable and install it
chmod +x lilypad
sudo mv lilypad /usr/local/bin/lilypad

Run the DeepSeek R1 Module (using the Lilypad DemoNet testing environment):

lilypad run --network demonet --web3-private-key b3994e7660abe5f65f729bb64163c6cd6b7d0b1a8c67881a7346e3e8c7f026f5 github.com/rhochmayr/ollama-deepseek-r1-7b:1.0.0 -i Prompt="What is the future of open-source AI"

Developer tooling for running inference jobs on Lilypad

• Build an Agent or App using the Local CLI Wrapper for Inference: Both DeepSeek modules can run with the JS-based CLI Wrapper, offering a streamlined way to integrate modules into your workflows. Although more technical overhead for developers, the local cli wrapper gives developers the option to run their own “Job Creator” api reducing reliance on a hosted API from Lilypad creating further decentralization in the AI workflow. See an example for building a front end on top of the JS CLI Wrapper here!

• Hosted API (Beta - coming soon!): For those who prefer a plug-and-play solution, our API is in beta and will be available for the community to use soon—run models effortlessly without additional setup.

Conclusion:

DeepSeek R1 on Lilypad is your gateway to running open source models with decentralized AI compute. Start building today and experience the freedom, scalability, and power of running AI on Lilypad.

Join the Lilypad Community

We’re committed to building a community of developers and innovators who want to push the boundaries of AI and decentralized compute. Join our Discord community to connect, share, and grow with others.