Articles tagged "Gemma 4"

Gemma 4 hardware requirements at a glance: E2B/E4B need 5GB VRAM, 26B MoE 16GB, 31B Dense 24GB (Q4) or 62GB (FP16). Covers RTX 3060 to H100, Apple Silicon M1-M4, CPU-only operation, Mac/Windows/Linux setups, recommended GPUs, and budget tiers — current as of Q2 2026.

Gemma 4 minimum: 5GB RAM (E2B Q4), recommended: 24GB VRAM (31B Dense Q4). Quick-lookup tables covering VRAM, RAM, and GPU requirements for all variants: E2B, E4B, 26B MoE, and 31B Dense.

Gemma 4 E4B is Google's 4.5B parameter edge AI model released in April 2026. This guide covers local deployment on Apple Silicon and Raspberry Pi, multimodal features, quantization settings, and benchmark comparisons.

Complete guide to Google Gemma 4 (released April 2, 2026): 4 model variants (E2B/E4B/26B MoE/31B Dense), Apache 2.0 license, system requirements, multimodal capabilities, AIME 89% benchmark, 140+ languages, and step-by-step Ollama installation and setup instructions.

Comprehensive comparison of Gemma 4, Llama 4, and Qwen 3.5 local LLMs. Detailed analysis of benchmark performance, licensing, Japanese support, hardware requirements, and use case selection criteria.

Complete guide for deploying Gemma 4 in enterprise environments. Detailed coverage of data sovereignty, GDPR/HIPAA/PCI DSS compliance, on-premise operations, security measures, cost comparison, and monitoring systems.

A practical implementation guide for SMBs to leverage Gemma 4 locally and eliminate cloud API costs entirely. Learn how to achieve cost savings with just 25-day ROI period, plus 5 concrete use cases including customer support, document generation, and development assistance.