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Breakthrough in Edge-side Large Models! Liquid AI Opens Source Hybrid Expert Model LFM2.5

Artificial intelligence startup Liquid AI has released and open-sourced the edge-side large model LFM2.5-8B-A1B, specifically designed for consumer-grade hardware, with optimized tool calling and instruction following capabilities. The model uses a sparse mixture of experts architecture, with a total parameter count of 8.3B, but only activates 1.5B parameters per Token. This reduces computational costs while enhancing reasoning performance, allowing it to run smoothly on mobile phones and laptops.

22k 3 hours ago
Breakthrough in Edge-side Large Models! Liquid AI Opens Source Hybrid Expert Model LFM2.5

Liquid AI Releases 1.2B Inference Model: Less than 1GB of Memory, Can Run on Mobile Edge Devices

Liquid AI launches LFM2.5-1.2B-Thinking, a 1.2B-parameter model for complex logic and math tasks. It enables on-device deployment with only 900MB memory, running offline on modern phones, bringing data-center-level reasoning to mobile devices.....

17.2k 1 days ago
Liquid AI Releases 1.2B Inference Model: Less than 1GB of Memory, Can Run on Mobile Edge Devices

Liquid AI Releases LFM2.5: A Family of Small AI Models for Edge Devices

Liquid AI launches LFM2.5, a compact foundational model series for edge devices and local deployment, featuring base and instruction-tuned versions with Japanese, vision, and audio variants. Optimized for CPU/NPU, it offers fast inference and is open-sourced on Hugging Face.....

22.9k 1 minutes ago
Liquid AI Releases LFM2.5: A Family of Small AI Models for Edge Devices
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