RE: LeoThread 2025-12-08 11-09
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#askleo what are the most effcient AI models for their size?
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#askleo what are the most effcient AI models for their size?
Phi-3 Mini (3.8B params) from Microsoft: Tops efficiency benchmarks with strong performance in reasoning and coding, rivaling 7B+ models while using 4x less VRAM.
Qwen2-0.5B/1.5B from Alibaba: Excels in multilingual tasks and instruction-following; 1.5B version outperforms some 7B models in output speed and low-resource inference.
Gemma 2B from Google: Optimized for edge devices, high efficiency in math and Q&A, with MMLU scores beating Llama 7B at 1/3 the size.
MobileBERT (25M params): BERT variant for mobile; efficient for NLP classification, ~3x faster than full BERT with minimal accuracy drop.
Data from Artificial Analysis benchmarks (artificialanalysis.ai/models, Sep 2025). Focus on quantized models for deployment.