Google's Gemma 4 offers four models tailored for different hardware capabilities, enabling users to run local large language models (LLMs) on devices ranging from smartphones to powerful PCs. This multimodal system allows for various applications, including summarization and coding assistance, without requiring expensive hardware.

• 01Gemma 4 features four models: E2B, E4B, 26B MoE, and 31B Dense, each optimized for different hardware capabilities.
• 02The flagship 31B Dense model excels in AI benchmarks, outperforming larger models, but requires high-end hardware.
• 03The smaller E2B and E4B models can operate on smartphones and low-powered laptops, making them accessible for everyday tasks.
• 04Users can run Gemma 4 through various LLM servers, including Ollama and LM Studio, without needing expensive GPUs.
• 05Google offers 1,500 free API requests per day for Gemma 4, allowing extensive use without immediate costs.

Gemma 4 enables users to perform AI tasks locally, enhancing privacy and reducing reliance on cloud services.