Liquid4All/cookbook resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2418 stars · 377 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of examples, end-to-end tutorials, and demo applications built with Liquid AI's open-weight Liquid Foundation Models (LFM) and the LEAP SDK. It covers desktop, browser, and mobile (Android/iOS) apps, plus fine-tuning workflows for running small language, vision, and audio models on laptops and edge devices.

Use cases

• run small language models locally on a laptop
• build an on-device voice assistant for mac or mobile
• parse invoice images with a vision-language model
• transcribe audio to text offline
• fine-tune LFM models for a custom task
• deploy LLMs on android or ios edge devices
• build a local AI agent with tool calling
• run a vision-language model chat app on-device

When to choose

• you want working example code and tutorials for Liquid AI LFM models
• you need to deploy small LLMs on mobile, laptop, or edge hardware
• you want reference apps for on-device audio, vision, or agent use cases
• you are learning to fine-tune LFMs with LEAP Finetune, TRL, or Unsloth

When to avoid

• you need a production-ready library or SDK rather than example code
• you use models from other providers with no interest in LFM/LEAP
• you need large-scale GPU serving examples rather than on-device inference
• you require a licensed, stable dependency for a commercial product (repo has no license)

Facets

learning-resource · maturity active

llm-inference machine-learning speech-recognition ocr chatbot agent-framework large-language-models artificial-intelligence mobile-development developer-tools tutorials windows python cross-platform browser lfm leap-sdk on-device-ai edge-ai fine-tuning jupyter-notebooks liquid-ai example-apps android ios macos linux

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markdown · JSON · MCP: product_card(name="Liquid4All/cookbook")