Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
MobileLLM is a family of sub-billion parameter language models optimized for on-device use cases, achieving state-of-the-art accuracy on zero-shot commonsense reasoning tasks. The models integrate design techniques like SwiGLU activation, deep and thin architectures, embedding sharing, and grouped query attention to deliver high performance with fewer than a billion parameters.
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