Try LFM • Documentation • LEAP

**Examples**, **tutorials**, and **applications** to help you build with our open-weight [LFMs](https://huggingface.co/LiquidAI) and the [LEAP SDK](https://leap.liquid.ai/) on laptops, mobile, and edge devices. ## Contents - [Desktop Apps](#-desktop-apps) - [Browser Apps](#-browser-apps) - [Mobile Apps](#-mobile-apps) (Android / iOS) - [Fine-Tuning Examples](#-fine-tuning-examples) - [Third-Party Apps Powered by LFM](#third-party-apps-powered-by-lfm) - [Community Projects](#-community-projects) - [Technical Deep Dives](#-technical-deep-dives) - [Contributing](#contributing) - [Support](#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](./examples/invoice-parser/README.md) | | Audio Transcription CLI | Real-time audio-to-text transcription using LFM2-Audio-1.5B with llama.cpp | [Code](./examples/audio-transcription-cli/) | | Flight Search Assistant | Find and book plane tickets using LFM2.5-1.2B-Thinking with tool calling | [Code](./examples/flight-search-assistant/README.md) | | Audio Car Cockpit | Voice-controlled car cockpit demo combining LFM2.5-Audio-1.5B with LFM2-1.2B-Tool | [Code](./examples/audio-car-cockpit/README.md) | | LocalCowork | On-device AI agent for file ops, security scanning, OCR, and more, powered by LFM2-24B-A2B | [Code](./examples/localcowork/README.md) | | Home Assistant | Local home assistant with tool calling, benchmarking, and fine-tuning pipeline using LFM2-350M and LFM2.5-1.2B | [Code](./examples/home-assistant/README.md) | | Voice Assistant for Mac | On-device voice assistant for Apple Silicon Macs using LFM2.5-Audio-1.5B and the LEAP SDK | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/leap-ui-demo/macos/LeapVoiceAssistantDemo) | | Vision Assistant for Mac | On-device visual language model chat for Apple Silicon Macs using the LEAP SDK | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/macOS/LeapVLMExample/LeapVLMExample) | ## 🌐 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](https://huggingface.co/spaces/LiquidAI/LFM2-WebGPU/tree/main) \| [Demo](https://huggingface.co/spaces/LiquidAI/LFM2-WebGPU) | | Voice Assistant | Run LFM2.5-Audio-1.5B entirely in your browser for speech recognition, TTS, and conversation | [Code](./examples/audio-webgpu-demo/README.md) \| [Demo](https://huggingface.co/spaces/LiquidAI/LFM2.5-Audio-1.5B-transformers-js) | | Live Video Captioning | Real-time video captioning with LFM2.5-VL-1.6B running in-browser using WebGPU | [Code](./examples/vl-webgpu-demo/README.md) \| [Demo](https://huggingface.co/spaces/LiquidAI/LFM2-VL-WebGPU) | | Chain-of-Thought Reasoning | Run LFM2.5-1.2B-Thinking entirely in your browser with WebGPU for on-device chain-of-thought reasoning | [Code](https://huggingface.co/spaces/LiquidAI/LFM2.5-1.2B-Thinking-WebGPU/tree/main) \| [Demo](https://huggingface.co/spaces/LiquidAI/LFM2.5-1.2B-Thinking-WebGPU) | | Hand & Voice Racer | Browser driving game controlled by hand gestures (MediaPipe) and voice commands (LFM2.5-Audio-1.5B), running fully local | [Code](./examples/hand-voice-racer/README.md) | | LEAP Voice Assistant | On-device voice assistant running in the browser via WebAssembly using the LEAP SDK | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/leap-ui-demo/web) | ## 📱 Mobile Apps Native examples for deploying LFM2 models on iOS and Android using the [LEAP Edge SDK](https://leap.liquid.ai/docs/edge-sdk/overview). 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](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/LeapChat) | | Voice Assistant | Audio input and output with LFM2.5-Audio-1.5B for on-device AI inference | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/leap-ui-demo/android) | | LeapKoogAgent | Integration with Koog framework for AI agent functionality | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/LeapKoogAgent) | | SloganApp | Single turn marketing slogan generation with Android Views | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/SloganApp) | | ShareAI | Website summary generator | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/ShareAI) | | Recipe Generator | Structured output generation with the LEAP SDK | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/RecipeGenerator) | | VLM Example | Visual Language Model integration | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/Android/VLMExample) | ### iOS | Name | Description | Link | |------|-------------|------| | LeapChat | Chat app with real-time streaming, conversation management, and SwiftUI | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/iOS/LeapChatExample) | | LeapSloganExample | Basic LeapSDK integration for text generation in SwiftUI | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/iOS/LeapSloganExample) | | Recipe Generator | Structured output generation | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/iOS/RecipeGenerator) | | Voice Assistant | Audio input and output with LFM2.5-Audio-1.5B for on-device AI inference | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/leap-ui-demo/ios/LeapVoiceAssistantDemo) | | Vision Assistant | Visual language model chat on iOS using the LEAP SDK | [Code](https://github.com/Liquid4All/LeapSDK-Examples/tree/main/iOS/LeapVLMExample) | | Telco Triage | Edge-first home internet support assistant with on-device LFM routing, local tools, and cloud-assist handoff | [Code](./examples/telco-triage-ios/README.md) | ## 🎯 Fine-Tuning Examples Colab notebooks and Python scripts for customizing LFM models with your own data. | Name | Description | Link | |------|-------------|------| | **Supervised Fine-Tuning (SFT)** | | | | SFT with Unsloth | Memory-efficient SFT using Unsloth with LoRA for 2x faster training | [Notebook](./finetuning/notebooks/sft_with_unsloth.ipynb) | | SFT with TRL | Supervised fine-tuning using Hugging Face TRL library with parameter-efficient LoRA | [Notebook](./finetuning/notebooks/sft_with_trl.ipynb) | | **Reinforcement Learning** | | | | GRPO with Unsloth | Train reasoning models using Group Relative Policy Optimization for verifiable tasks | [Notebook](./finetuning/notebooks/grpo_with_unsloth.ipynb) | | GRPO with TRL | Train reasoning models using Group Relative Policy Optimization with rule-based rewards | [Notebook](./finetuning/notebooks/grpo_for_verifiable_tasks.ipynb) | | **Continued Pre-Training (CPT)** | | | | CPT for Translation | Adapt models to specific languages or translation domains using domain data | [Notebook](./finetuning/notebooks/cpt_translation_with_unsloth.ipynb) | | CPT for Text Completion | Teach models domain-specific knowledge and creative writing styles | [Notebook](./finetuning/notebooks/cpt_text_completion_with_unsloth.ipynb) | | **Vision-Language Models** | | | | VLM SFT with Unsloth | Supervised fine-tuning for LFM2-VL models on custom image-text datasets | [Notebook](./finetuning/notebooks/sft_for_vision_language_model.ipynb) | | Satellite VLM Fine-Tuning | Fine-tune LFM2.5-VL-450M on satellite imagery for VQA, grounding, and captioning using Modal | [Code](./examples/satellite-vlm/README.md) | | Wildfire Prevention | Build a wildfire risk detection system using LFM2.5-VL-450M and Sentinel-2 satellite imagery, with fine-tuning and on-device inference | [Code](./examples/wildfire-prevention/README.md) | | **Audio-Language Models** | | | | LFM2.5-Audio Fine-Tuning | Fine-tune LFM2.5-Audio-1.5B on the OHF-Voice dataset to map speech directly to Home Assistant function calls, with on-device GGUF inference | [Code](./examples/voice-assistant/README.md) | ## Third-Party Apps Powered by LFM Production and open-source applications that support LFM models as an inference backend, among other providers. | Name | Description | Link | |------|-------------|------| | DeepCamera | Open-source AI camera system for local vision intelligence with facial recognition, person re-ID, and edge deployment on Jetson and Raspberry Pi | [Code](https://github.com/SharpAI/DeepCamera) | | Osaurus | Native macOS AI harness for managing agents, memory, tools, and identity locally, with support for LFM models via MLX on Apple Silicon | [Code](https://github.com/osaurus-ai/osaurus) | ## 🌟 Community Projects Open-source projects built by the community showcasing LFMs with real use cases. ### Fine-tuning | Name | Description | Link | |------|-------------|------| | LFM2.5 Mobile Actions | LoRA fine-tuned LFM2.5-1.2B that translates natural language into Android OS function calls for on-device mobile action recognition | [Code](https://github.com/Mandark-droid/LFM2.5-1.2B-Instruct-mobile-actions) | | Food Images Fine-tuning | Fine-tune LFM models on food image datasets | [Code](https://github.com/benitomartin/food-images-finetuning) | | LFM2-KoEn-Tuning | Fine-tuned LFM2 1.2B for Korean-English translation | [Code](https://github.com/gyunggyung/LFM2-KoEn-Tuning) | | SFT + DPO Fine-tuning | Teaching a 1.2B model to be a grumpy Italian chef: SFT + DPO fine-tuning with Unsloth | [Code](https://github.com/benitomartin/grumpy-chef-finetuning-dpo) | | LFM2-2.6B Mr. Tic Tac Toe | Fine-tune LFM2-2.6B with reinforcement learning to play tic-tac-toe | [Code](https://github.com/anakin87/llm-rl-environments-lil-course) | ### Deployment | Name | Description | Link | |------|-------------|------| | LFM-2.5 Thinking on Web | Run LFM2.5-1.2B reasoning model locally in the browser via WebGPU and Transformers.js | [Code](https://github.com/sitammeur/lfm2.5-thinking-web) | | LFM-2.5 JP on Web | Run LFM2.5-1.2B Japanese model locally in the browser via WebGPU and Transformers.js | [Code](https://github.com/sitammeur/lfm2.5-jp-web) | | barq-web-rag | Browser-based RAG app for document Q&A with LFM2.5-1.2B-Thinking running fully local via WebGPU | [Code](https://github.com/YASSERRMD/barq-web-rag) | | Tauri Plugin LEAP AI | Tauri plugin to integrate LEAP and Liquid LFMs into desktop and mobile apps | [Crate](https://crates.io/crates/tauri-plugin-leap-ai) | | Chat with LEAP SDK | LEAP SDK integration for React Native | [Code](https://github.com/glody007/expo-leap-sdk) | ### End-to-End Projects | Name | Description | Link | |------|-------------|------| | Image Classification on Edge | Fine-tune and deploy a local VLM for fast, accurate image classification on edge devices | [Code](https://github.com/Paulescu/image-classification-with-local-vlms) | | Chess Game with Small LMs | Fine-tune and deploy a small language model to play chess | [Code](https://github.com/Paulescu/chess-game) | | Private Doc Q&A | On-device document Q&A with RAG and voice input | [Code](https://github.com/chintan-projects/private-doc-qa) | | Photo Triage Agent | Private photo library cleanup using LFM vision model | [Code](https://github.com/chintan-projects/photo-triage-agent) | | Tiny-MoA | Mixture of agents on CPU with LFM2.5 Brain (1.2B) | [Code](https://github.com/gyunggyung/Tiny-MoA) | | LFM-Scholar | Automated literature review agent for finding and citing papers | [Code](https://github.com/gyunggyung/LFM-Scholar) | | Private Summarizer | 100% local text summarization with multi-language support | [Code](https://github.com/Private-Intelligence/private_summarizer) | | TranslatorLens | Offline translation camera for real-time text translation | [Code](https://github.com/linmx0130/TranslatorLens) | | Meeting Intelligence CLI | CLI tool for meeting transcription and analysis | [Code](https://github.com/chintan-projects/meeting-prompter) | | grosme | CLI grocery assistant that finds Walmart product matches using an LFM-2.5 tool-calling agent via Ollama | [Code](https://github.com/earl562/grosme) | | Discord Moderator | Use LFM2.5-1.2B to screen messages for suspicious content | [Code](https://github.com/badluma/liquid-mod) | | BookMind | Offline RAG study assistant for asking questions and generating exercises from PDF textbooks, powered by LFM2-2.6B | [Code](https://github.com/Ksirailway-base/BookMind) | | Liquid-CLI | Fine-tune and run Liquid AI's LFM2-8B-A1B as a local terminal agent | [Code](https://github.com/gyunggyung/Liquid-CLI) | | LFM Podcast Studio | Turn any PDF into a two-host podcast episode locally using LFM2.5-Audio TTS via llama.cpp | [Code](https://github.com/nikhilprasanth/LFM-Podcast-Studio) | | GalamseyWatch | Two-layer agentic Earth observation over Sentinel-2 imagery for illegal mining detection in Ghana, powered by LFM2.5-VL-450M and LFM2-2.6B | [Code](https://github.com/samadon1/GalamseyWatch) | | Liquid Lens | Detects water anomalies in orbit by combining fast spectral filtering with conditional LFM2.5-VL visual insights on the SimSat orbital simulator | [Code](https://github.com/LiquidLensSystems/water-vlm) | ## 🕐 Technical Deep Dives Recorded sessions (~60 minutes) covering advanced topics and hands-on implementations. | Date | Topic | Link | |------|-------|------| | 2025-11-06 | Fine-tuning LFM2-VL for image classification | [Video](https://www.youtube.com/watch?v=00IK9apncCg) | | 2025-11-27 | Building a 100% local Audio-to-Speech CLI with LFM2-Audio | [Video](https://www.youtube.com/watch?v=yeu077gPmCA) | | 2025-12-26 | Fine-tuning LFM2-350M for browser control with GRPO and OpenEnv | [Video](https://www.youtube.com/watch?v=gKQ08yee3Lw) | | 2026-01-22 | Local video-captioning with LFM2.5-VL-1.6B and WebGPU | [Video](https://www.youtube.com/watch?v=xsWARHFoA3E) | | 2026-03-05 | Build your own local AI coding assistant | [Video](https://www.youtube.com/watch?v=6JEm1IxcxEw) | | 2026-04-22 | Let's build a wildfire detection system with a Vision Language Model and satellite images | [Video](https://www.youtube.com/watch?v=LOIDYl5fdb8) | Join the next session! Head to the `#live-events` channel on [Discord](https://discord.com/invite/liquid-ai). ## Contributing We welcome contributions! Open a PR with a link to your project GitHub repo in the Community Projects section. [![Contributors](https://contrib.rocks/image?repo=Liquid4All/cookbook)](https://github.com/Liquid4All/cookbook/graphs/contributors) ## Support - 📖 [Liquid AI Documentation](https://docs.liquid.ai/) - 💬 [Join our community on Discord](https://discord.com/invite/liquid-ai)

tauri-dev

Installation

SKILL.md