Liquid AI
Latest from Liquid AI: model launches, customer stories, company news, and research.
- Posts
- 36 from 30 Sep 2024 to 27 Oct 2026
- Posting
- monthly (20 in the last year)
- Kind
- company blog
2026 18
- OCT 27, 2026ModelsIntroducing LFM3: Every Modality for Specialized Intelligence
- OCT 15, 2026Modelsd1-ultra: Introducing the World’s Best Decision Model
- LFM2.5-VL-450M: Structured Visual Intelligence, Edge to Cloud
- Open d1: Edge decision models for text, vision, and audio
- The Future of Meeting Summarization: Local, Fast, Private, and Fully Secure
- LFM2.5 Retrievers: Bi-directional LFMs for Fast Multilingual Search
- LFM2.5-8B-A1B: An Even Better On-Device Mixture of Experts
- Introducing d1: The most capable decision model, now with vision
- No Cloud, No Waiting: Tool-Calling Agents on Consumer Hardware with LFM2-24B-A2B
- Introducing LFM2.5: The Next Generation of On-Device AI
- LFM2.5-2.6B: Deploy Agents Everywhere
- LFM2.5-230M: Built to Run Anywhere
- LFM2.5-350M: No Size Left Behind
- LFM2.5-Encoders: Fast at Long Context, Even on CPU
- LFM2-24B-A2B: Scaling Up the LFM2 Architecture
- LFM2.5-1.2B-Thinking: On-Device Reasoning Under 1GB
- LFM2.5 Q4_0: Quantization-Aware Distillation for Edge Deployment
- LFM2.5-DSpark: Up to 3.2x Faster Inference from H100 to MacBook
2025 16
- LFM2-VL: Efficient Vision-Language Models
- LFM2-ColBERT-350M: One Model to Embed Them All
- LFM2-VL-3B: A New Efficient Vision-Language for the Edge
- How Liquid AI Uses ExecuTorch to Power Efficient, Flexible On-Device Intelligence
- LFM2.5-VL-DSpark: Accelerating vision-language models on edge and beyond
- Introducing LFM2: The Fastest On-Device Foundation Models on the Market
- LFM2.5-24B-A2B: Built for Fast On-Device Agents
- Introducing Liquid Nanos — frontier‑grade performance on everyday devices
- Introducing LFM2-2.6B: Redefining Efficiency in Language Models
- From Cloud to Keyboard: LEAP Expands to Laptops with Cutting-Edge AMD Ryzen™ Power
- Liquid <> .txt Collaboration
- Liquid AI Launches LEAP and Liquid Apollo: The Easiest Way to Build with On-Device AI
- LFM2-8B-A1B: An Efficient On-device Mixture-of-Experts
- LFM-1B-Math: Can Small Models Be Concise Reasoners?
- Introducing LFM-7B: Setting New Standards for Efficient Language Models
- LFM2-Audio: An End-to-End Audio Foundation Model