Liquid4All / cookbook
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Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
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Created2025-10-03 (1y ago)
Last push4d ago
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- GitHub: github.com/Liquid4All/cookbook
- Homepage: https://docs.liquid.ai/
- Releases · Issues · Hacker News mentions
README excerpt
Try LFM • Documentation • LEAP **Examples**, **tutorials**, and **applications** to help you build with our open-weight LFMs and the LEAP SDK on laptops, mobile, and edge devices. ## Contents - Desktop Apps - Browser Apps - Mobile Apps (Android / iOS) - Fine-Tuning Examples - Guides - Third-Party Apps Powered by LFM - Community Projects - Technical Deep Dives - Contributing - Support ## 🖥️ Desktop Apps Python and CLI applications for running LFM models on your laptop or desktop machine. | Name | Description | Link | |------|-------------|------| | Invoice Parser | Extract structured data from invoice images using LFM2-VL-3B | Code | | Audio Transcription CLI | Real-time audio-to-text transcription using LFM2.5-Audio-1.5B with llama.cpp | Code | | Flight Search Assistant | Find and book plane tickets using LFM2.5-1.2B-Thinking with tool calling | Code | | Audio Car Cockpit | Voice-controlled car cockpit demo combining LFM2.5-Audio-1.5B with LFM2-1.2B-Tool | Code | | LocalCowork | On-device AI agent for file ops, security scanning, OCR, and more, powered by LFM2-24B-A2B | Code | | Home Assistant | Local home assistant with tool calling, benchmarking, and fine-tuning pipeline using LFM2-350M and LFM2.5-1.2B | Code | | Voice Assistant for Mac | On-device voice assistant for Apple Silicon Macs using LFM2.5-Audio-1.5B and the LEAP SDK | Code | | Vision Assistant for Mac | On-device visual language model chat for Apple Silicon Macs using the LEAP SDK | Code | ## 🌐 Browser Apps Zero-install applications running LFM models directly in the browser via WebGPU and ONNX Runtime Web. | Name | Description | Link | |------|-------------|------| | Tool Calling | Run LFM2 entirely in your browser with WebGPU for in-browser tool calling | Code \| Demo | | Voice Assistant | Run LFM2.5-Audio-1.5B entirely in your browser for speech recognition, TTS, and conversation | Code \| Demo | | Live Video Captioning | Real-time video captioning with LFM2.5-VL-1.6B running in-browser using WebGPU | Code \| Demo | | Chain-of-Thought Reasoning | Run LFM2.5-1.2B-Thinking entirely in your browser with WebGPU for on-device chain-of-thought reasoning | Code \| Demo | | Hand & Voice Racer | Browser driving game controlled by hand gestures (MediaPipe) and voice commands (LFM2.5-Audio-1.5B), running fully local | Code | | Road Decider | Pixel-art survival racer where Liquid's d1 decision model dodges traffic against Jev or a human player | Code | | LEAP Voice Assistant | On-device voice assistant running in the browser via WebAssembly using the LEAP SDK | Code | ## 📱 Mobile Apps Native examples for deploying LFM2 models on iOS and Android using the LEAP Edge SDK. Written for Android (Kotlin) and iOS (Swift), the goal of the Edge SDK is to make Small Language Model deployment as easy as calling a cloud LLM API endpoint. ### Android | Name | Description | Link | |------|-------------|------| | LeapChat | Chat app with real-time streaming, persistent history, and modern UI | Code | |