Documentation
Complete API reference & guides
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Hack the Edge: Join our virtual hackathon and win up to $10kIntelligence everywhere.
No
experience necessary
Effortlessly ship powerful and performant AI in your apps — discover, specialize, and deploy models on any device, in minutes.
Endless possibilities with LEAP
On-Device Scene Understanding in AR/VR
Offline Knowledge Assistant
On-Device Health Analytics for Wearables
In-Vehicle Function Orchestration
On-Device Low-Latency Dialogue for Games
On-Prem Private AI for Enterprises
On-Prem Document Processing
On-Prem Compliance Automation
On-Device Real-Time Fraud Detection
Edge Predictive Maintenance
On-Device Scene Understanding in AR/VR
Offline Knowledge Assistant
On-Device Health Analytics for Wearables
In-Vehicle Function Orchestration
On-Device Low-Latency Dialogue for Games
On-Prem Private AI for Enterprises
On-Prem Document Processing
On-Prem Compliance Automation
On-Device Real-Time Fraud Detection
Edge Predictive Maintenance
On-Device Scene Understanding in AR/VR
Offline Knowledge Assistant
On-Device Health Analytics for Wearables
In-Vehicle Function Orchestration
On-Device Low-Latency Dialogue for Games
On-Prem Private AI for Enterprises
On-Prem Document Processing
On-Prem Compliance Automation
On-Device Real-Time Fraud Detection
Edge Predictive Maintenance
On-Device Scene Understanding in AR/VR
Offline Knowledge Assistant
On-Device Health Analytics for Wearables
In-Vehicle Function Orchestration
On-Device Low-Latency Dialogue for Games
On-Prem Private AI for Enterprises
On-Prem Document Processing
On-Prem Compliance Automation
On-Device Real-Time Fraud Detection
Edge Predictive Maintenance
How it works
From concept to on-device in minutes.
LEAP helps you Specialize the best model for your use case, and Deploy it locally on any supported device, in just a couple easy steps.
1
Specialize
Find your model.
Discover the best model for your use case within your constraints.
FEATURES
Best model search
Model library
Vision-enabled
Best fit
LiquidAI /LFM2-1.2B
LFM2 is a hybrid-architecture class of Liquid Foundation Models (LFMs) that sets a new standard in quality, speed, and memory-efficient deployment. LFM2 is specifically designed to provide the fastest on-device gen-AI experience across the industry, thus unlocking a massive number of devices for generative AI workloads.
Qwen /Qwen3-0.6B
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
LiquidAI /LFM2-700M
LFM2 is a hybrid-architecture class of Liquid Foundation Models (LFMs) that sets a new standard in quality, speed, and memory-efficient deployment. LFM2 is specifically designed to provide the fastest on-device gen-AI experience across the industry, thus unlocking a massive number of devices for generative AI workloads.
LiquidAI /LFM2-350M
LFM2 is a hybrid-architecture class of Liquid Foundation Models (LFMs) that sets a new standard in quality, speed, and memory-efficient deployment. LFM2 is specifically designed to provide the fastest on-device gen-AI experience across the industry, thus unlocking a massive number of devices for generative AI workloads.
2
Specialize
Test it.
Test and compare LEAP models on-device or in the cloud.
FEATURES
Apollo
Cloud playground
Try models on Apollo
See how our models performs on your own device.
3
Specialize
Customize it to your task.
Specialize models to your task with LEAP fine-tuning CLI and easily generate a deployment-ready model bundle.
FEATURES
Finetuning tools
Model bundling service
Deploy
Deploy it anywhere
Integrate your model seamlessly into your app, and run it entirely on-device.
FEATURES
Edge SDK
Laptop support
1import ai.leap.LeapClient
2
3lifecycleScope.launch {
4 // Load the model
5 run = LeapClient.loadModel(BUNDLE_PATH)
6
7 // Create conversation
8 val conv = run.createConversation(SYSTEM_PROMPT)
9
10 // Run generation
11 conv.generateResponse(USER_PROMPT)
12 .onEach { chunk ->
13 when (chunk) {
14 is MessageResponse.Chunk -> {
15 val newContent = chunk.text
16 // process generated text ...
17 }
18 else -> {
19 // process other responses
20 }
21 }
22 }
23 .onCompletion {
24 // to perform when generation is done
25 }
26 .catch {
27 // error handling
28 }
29 .collect()
30}The Liquid AI Hackathon Series 2025
YOUR MISSIONSTARTS NOW.
Join the Liquid AI Hackathons to build cutting-edge on-device AI apps using LFM2 and LEAP, meet other innovative builders from around the world, and win prizes.
$10k
total prize money
Up to 3 people per team
Dedicated Discord Community
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