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Liquid AI
- London, United Kingdom
- https://mlabonne.github.io/blog
- @maximelabonne
- in/maxime-labonne
- https://huggingface.co/mlabonne
Stars
Fine-tune LiquidAI LFM2.5 Embedding models for dense retrieval using your own data
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your netwo…
Missing reading reviewer 2 comments? AI to the rescue!
An uploaded intelligence that thinks in language — but can only speak in emoji. Inspired by Pantheon. Runs entirely in your browser via WebGPU.
Zoof is a high-efficiency Small Language Model (SLM) engineered from scratch. It demonstrates how modern architectural choices and high-quality data can yield competitive performance in the sub-400…
OpenTinker is an RL-as-a-Service infrastructure for foundation models
A full model customization repo for Liquid Foundation Models
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Provider-agnostic, open-source evaluation infrastructure for language models
LFM2-VLM powered mobile app with React Native
Modular task agnostic training pipeline using LFM2 from Liquid AI with unsloth.
A Flutter plugin for integrating Liquid AI's LEAP SDK, enabling on-device deployment of small language models in Flutter applications.
A macOS Silicon wrapper & demo apps for developers of VLM/MLLM apps to simplify access to llama.cpp multimodal capabilities
High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets
Open source LLM arena created by the French Government
Implements harmful/harmless refusal removal using pure HF Transformers
Distill thinking dataset more compactly and accurately!
Trying to create an rpg with llm being the game master.
Fast Multimodal Semantic Deduplication & Filtering
Lab Materials for MIT 6.S191: Introduction to Deep Learning
The Open Cookbook for Top-Tier Code Large Language Model
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices


