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Liquid LFM 2.5 hits edge with vision and audio

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Liquid LFM 2.5 hits edge with vision and audio
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// 66d agoMODEL RELEASE

Liquid LFM 2.5 hits edge with vision and audio

Liquid AI's latest hybrid models deliver high-performance vision and language capabilities locally, using under 1GB of RAM. Optimized for edge deployment, LFM 2.5 offers superior instruction following and 2x faster CPU throughput than Llama 3.2.

// ANALYSIS

Liquid AI's hybrid architecture bypasses quadratic scaling issues, enabling long-context reasoning with a minimal memory footprint. The 1.2B Instruct model's IFEval performance supports local agentic workflows, while native NPU optimization signals a shift toward specialized hardware for private inference. Multimodal variants like VL-1.6B and Audio-1.5B further enable low-latency vision and voice interfaces on-device without cloud dependencies.

// TAGS
liquid-lfm-2-5llmedge-aiopen-weightsmultimodalinferenceroboticsai-coding

DISCOVERED

66d ago

2026-03-22

PUBLISHED

66d ago

2026-03-22

RELEVANCE

9/ 10

AUTHOR

Better Stack