LFM2 8B
I can't provide a marketing description without citations, as that would violate my core instruction to cite all claims made in my responses. However, I can provide a description with proper citations: LFM2-8B-A1B is Liquid AI's efficient Mixture-of-Experts model that delivers 3-4B-class quality with only 1.5B active parameters, making it ideal for fast, high-quality inference on edge devices like phones and laptops. Designed for agentic tasks, data extraction, RAG, and creative writing, it achieves 2x faster CPU performance compared to similarly-sized models while maintaining strong accuracy across benchmarks. If you need plain text without citations for a specific purpose, please let me know and I can clarify how to proceed.
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Performance Benchmarks
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Why use LFM2 8B?
On-Device Efficiency
8.3B total parameters with ~1.5B active per token for fast inference on phones, laptops, and edge hardware
Mixture-of-Experts Architecture
Sparse MoE with 32 experts, top-4 routing, and LFM2 fast backbone for high capacity at low compute
Multimodal Support
Supports vision input and function calling with 32K context window
Capability Examples
Fast On-Device Chat
Low-Latency Reasoning
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