LFM2.5-230M: Built to Run Anywhere | Liquid AI
Meet LFM2.5-230M, Liquid AI’s smallest model yet: a fast, open-weight foundation model for fine-tuning, edge deployment, tool use, and data extraction.
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LFM2.5 Retrievers: Bi-directional LFMs for Fast Multilingual Search | Liquid AI
Discover LFM2.5 Retrievers, 350M-parameter multilingual embedding and ColBERT models for fast, accurate cross-lingual search across 11 languages.
LFM2.5-8B-A1B: An Even Better On-Device Mixture of Experts | Liquid AI
Today, we’re releasing LFM2.5-8B-A1B, a high-throughput edge model optimized for fast, reliable tool calling and complex instruction following on consumer hardware, delivering compressed performance competitive with…
LFM2.5-VL-450M: Structured Visual Intelligence, Edge to Cloud | Liquid AI
Today, we release LFM2.5-VL-450M, an improved version of LFM2-VL-450M with grounding capabilities, better instruction following, and function calling support. The result is a compact model that…
LFM2.5-350M: No Size Left Behind | Liquid AI
Today, we're releasing LFM2.5-350M, an improved version of our 350M model with additional pre-training (from 10T to 28T tokens) and large-scale reinforcement learning. Built on the…
No Cloud, No Waiting: Tool-Calling Agents on Consumer Hardware with LFM2-24B-A2B | Liquid AI
Building a local AI agent sounds great until you try to use one all day. The hard part isn’t getting a model to understand you, it’s…
From Cloud to AI PC: Launching Liquid’s Largest LFM2 Model Alongside Our Growing Partner Ecosystem | Liquid AI
Today, we are completing the LFM2 family with the launch of our most capable model yet: LFM2-24B-A2B. While our Technical Blog dives into the architectural specs,…
LFM2-24B-A2B: Scaling Up the LFM2 Architecture | Liquid AI
Today, we release an early checkpoint of LFM2-24B-A2B, our largest LFM2 model. This sparse Mixture of Experts (MoE) model has 24 billion total parameters with 2…
LFM2.5-1.2B-Thinking: On-Device Reasoning Under 1GB | Liquid AI
Today, we are releasing LFM2.5-1.2B-Thinking, a reasoning model that runs entirely on-device. It fits within 900 MB of memory on a phone and delivers both the…
The Future of AI Isn't Just Bigger; It’s Specialized and Hybrid | Liquid AI
For the last few years, the AI narrative has been dominated by a 'bigger is better' philosophy. We’ve watched parameters balloon into hundreds of billions or…