Gemma 3n model run efficiently on low-resource devices like phones, using selective parameter activation to reduce resource demands, operating at an effective size of 2B or 4B parameters.
Gemma 3n model run efficiently on low-resource devices by selectively activating parameters, performing like 2B or 4B models with reduced resource use.
Gemma 3n 4B Description
Google's Gemma 3n 4B is a mobile-first, multimodal AI model engineered for efficient on-device deployment. With innovative MatFormer architecture and PLE caching, it delivers enterprise-grade AI capabilities on smartphones and tablets with minimal resource consumption.
Technical Specification
Performance Benchmarks
Gemma 3n 4B is optimized for mobile deployment with advanced multimodal processing capabilities:
Processing Speed: 1.5x faster than predecessor Gemma 3 4B on mobile devices.
API Pricing:
FREE
Performance Metrics
Based on the Chatbot Arena Elo scores, Gemma 3n is performing exceptionally well with a score of 1283, ranking second place and coming very close to Claude 3.7 Sonnet (1287), which is particularly impressive given that Gemma 3n achieves this performance with only 4B parameters in memory.
Gemma 3n Chatbot Arena Elo Score
Key Capabilities
Gemma 3n 4B delivers efficient multimodal AI processing for resource-constrained environments.
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