Gemma 4 Models
Compare all Gemma 4 model sizes, parameters, context windows, and hardware requirements to choose the right checkpoint.
What are Gemma 4 Models?
Gemma 4 ships in four sizes — E2B, E4B, 26B A4B (MoE), and 31B Dense. Each is tuned for different hardware and use cases, from mobile devices to high-end workstations.
Why compare Gemma 4 models?
Choose the Right Size
Select the model checkpoint that fits your hardware constraints and quality requirements
Understand Dense vs MoE
Learn why the 26B MoE runs faster than you'd expect compared to a 26B Dense model
Plan Your Deployment
Know exact memory and storage requirements before downloading large checkpoints
Featured & Essential
Gemma 4 Bartowski
Learn how to use Gemma 4 Bartowski style local models for gaming tasks, from quest planning to translation, NPC dialogue prototyping, and performance tuning in 2026.
gemma 4 awq
Learn how to use gemma 4 awq for local, private, and offline gaming workflows on PC and phone, including hardware picks, settings, and practical optimization tips.
All Gemma 4 Model Guides
Gemma 4 API Pricing
A practical 2026 guide to Gemma 4 API pricing, including local vs hosted costs, budgeting formulas, and deployment choices for gaming studios.
gemma 4 license
Learn how the gemma 4 license affects game studios, modders, and content creators in 2026, with practical compliance checklists and deployment tips.
Gemma 4 INT4
Learn how to run Gemma 4 INT4 locally for gaming workflows, from hardware planning and install steps to performance tuning and practical creator use cases in 2026.
Gemma4 9B
Learn how to run Gemma4 9B locally for gaming, modding, and scripting tasks with hardware targets, performance tuning, and practical 2026 workflows.
Gemma4 Quantization
Learn how to tune Gemma4 quantization for better FPS-friendly workflows, lower VRAM usage, and strong output quality on everyday gaming PCs in 2026.
gemma 4 26b gguf
Learn how to run Gemma 4 26B GGUF locally for game prototyping, compare quantizations, tune performance, and build better browser-based game demos in 2026.
gemma 4 a4b
Learn how to use gemma 4 a4b for gaming projects, from local setup and model sizing to practical in-game and studio workflows in 2026.
gemma 4 abliterated
A practical 2026 guide to Gemma 4 for gamers and creators: model sizes, local setup on PC and phone, performance expectations, and smart workflows.
gemma 4 chat template
Learn how to configure, debug, and optimize the gemma 4 chat template for tool-calling workflows in 2026, including OpenCode and Claude Code style harnesses.
gemma 4 vision capabilities
Learn how to use gemma 4 vision capabilities for detection, counting, and scene reasoning in local AI workflows for gaming tools and content pipelines.
Gemma 4 MoE Architecture
Explore the technical breakdown of the Gemma 4 MoE architecture. Learn how the 26B Mixture of Experts model revolutionizes local gaming AI and agentic workflows.
Gemma 4 E4B Model Specifications
Explore the comprehensive Gemma 4 E4B model specifications. Learn about memory efficiency, multimodal support, and how to deploy this 4B model on mobile and IoT devices.
Gemma 4 Model Size RAM Requirements
Learn everything about Gemma 4 model size RAM requirements for local deployment. Optimize your hardware for Google's latest open-source AI.
Gemma 4 Model Size Requirements
Explore the official gemma 4 model size requirements for local AI. Compare RAM, GPU, and storage needs for E2B, E4B, 26B, and 31B models in our comprehensive 2026 guide.
Gemma 4 Model Sizes Parameters 2026
Explore the full breakdown of Gemma 4 model sizes, parameters, and architecture. Learn how the 26B MoE and 31B Dense models redefine local AI performance in 2026.
Gemma 4 Model Sizes Parameters
Explore the official Gemma 4 model sizes parameters, including the 26B MoE and 31B Dense versions. Learn about hardware requirements and agentic features.
Gemma 4 1b
Explore the capabilities of the Gemma 4 1b and E2B models. Learn about on-device performance, agentic workflows, and the massive benchmark jumps from Gemma 3.
Gemma 4 2B
Explore the capabilities of Google's Gemma 4 2B model. Learn about its agentic workflows, mobile efficiency, and how to implement it locally for gaming and apps.
Gemma 4 9b
Explore the full capabilities of the Gemma 4 9b and the entire Gemma 4 family. Learn about agentic workflows, local performance, and benchmark results.
Gemma 4 PT Model
Explore the power of the Gemma 4 pt model series. Learn about its agentic workflows, local performance, and how it revolutionizes AI for gamers and developers in 2026.
Gemma 4 26B Model Size Parameters VRAM Requirements Guide 2026
Explore the Gemma 4 26B model size parameters VRAM requirements and hardware specs. Learn how to run Google's latest open-source AI on your gaming rig.
Gemma 4 31B Model Size Parameters VRAM Requirements
Detailed breakdown of Google's Gemma 4 31B model size parameters VRAM requirements, architecture upgrades, and hardware recommendations for local deployment in 2026.
Gemma 4 E4B Hardware Requirements
Learn the exact Gemma 4 e4b hardware requirements to run Google's latest open-source AI model locally. Complete guide on GPU, VRAM, and CPU specs for 2026.
Gemma 4 Model Release 2026
Explore the groundbreaking gemma 4 model release 2026. Learn about the 31B dense model, agentic workflows, and how to run local AI on your own hardware.
Gemma 4 Model Size Parameters VRAM Requirements
Explore the complete breakdown of Google's Gemma 4 models, including parameter counts, VRAM requirements for local execution, and performance benchmarks.
Gemma 4 Model Sizes Parameters VRAM Requirements 2026
A comprehensive breakdown of Google's Gemma 4 AI models. Learn about parameters, VRAM requirements for 8GB to 96GB GPUs, and native multimodal features.
Gemma 4 Model Sizes Parameters VRAM Requirements
Explore the new Gemma 4 lineup including 31B Dense and 26B MoE models. Learn about parameter counts, VRAM requirements, and local hardware optimization for 2026.
Gemma 4 Model Specifications
Explore the full Gemma 4 model specifications, featuring 31B Dense and 26B MoE architectures. Learn about local deployment, context windows, and mobile AI performance.
26b-a4b gemma
Explore the 26b-a4b gemma model's architecture, benchmarks, and real-world performance. Learn how this MoE powerhouse handles coding, vision, and creative writing.
Gemma 4 12B Model Guide
Master the transition to Google's 2026 AI lineup. Our Gemma 4 12B model guide covers memory requirements, MoE architecture, and local deployment tips.
Gemma 4 12B
Master the Gemma 4 12B model for local gaming setups and development. Explore benchmarks, hardware requirements, and multimodal features in our 2026 guide.
Gemma 4 26B Model
Explore the power of the Gemma 4 26B model. Learn how to set up this high-performance MoE model locally for gaming, coding, and private data analysis.
Gemma 4 2B Model Guide
Learn how to deploy and optimize the Gemma 4 E2B model. This guide covers Per-Layer Embeddings, hardware requirements, and multimodal setup for 2026.
Gemma 4 4B
Explore how Google's Gemma 4 4B model is set to revolutionize local AI in gaming, offering powerful on-device capabilities for dynamic NPCs, enhanced narratives, and accessible AI experiences on low-end hardware.
Gemma 4 Best Quantization Guide
Master the best quantization settings for Google's Gemma 4. Learn how to run 31B models on consumer hardware with Q4, Q8, and KV cache optimization.
Gemma 4 E2B Model
Learn how to deploy and optimize the Google Gemma 4 E2B model on local hardware. Explore benchmarks, multimodal features, and Raspberry Pi 5 setup steps.
Gemma 4 Int4 Quantization
Master Gemma 4 int4 quantization to run powerful AI models on local hardware. Learn about memory requirements, QAT, and optimization tricks for 2026.
Gemma 4 Q4_K_M Guide
Learn how to install and optimize Google's Gemma 4 using the Q4_K_M quantization. A complete guide for local LLM enthusiasts and developers.
Gemma 4 Quant
Master the Gemma 4 quant ecosystem. Learn how to deploy Google's latest local AI models with Turbo Quant for 8x efficiency on consumer hardware.
Gemma4 MLX
Learn how to optimize Google's Gemma 4 models using the MLX framework on Apple Silicon. Explore benchmarks, agentic workflows, and local installation steps.
Gemma 4 27B
Master the gemma 4 27b model with our comprehensive hardware, logic, and multimodal guide. Optimized for local AI performance in 2026.
Gemma 4 Fine Tuning
Master Gemma 4 fine tuning to create specialized AI models. Learn about LoRA, hardware requirements, and step-by-step local training for 2026.
Gemma 4 GGUF
Learn how to download and run Gemma 4 GGUF models locally. Explore benchmarks, hardware requirements, and multimodal features for Google's latest open weights.
Gemma 4 Turbo
Explore how Google's Gemma 4 Turbo family is revolutionizing gaming. From local AI NPCs to modding tools, learn how to run these models on your gaming rig.
Gemma 4 26b a4b
Explore the power of the gemma 4 26b a4b model. Learn about its Mixture of Experts architecture, performance benchmarks against GPT-5.4, and logic optimization tips.
Gemma 4 26B Guide
A comprehensive guide to the Gemma 4 26B Mixture of Experts model. Learn about its architecture, local performance, and agentic capabilities in 2026.
Gemma 4 31B
Explore the groundbreaking Gemma 4 31B model. Learn about its 256k context window, multimodal gaming capabilities, and local deployment performance.
Gemma 4 E2B
Explore the capabilities of Gemma 4 E2B, Google's latest edge-optimized AI model. Learn about its native multimodality, thinking features, and Apache 2.0 license.
Gemma 4 E4B
Explore the Gemma 4 E4B model, Google's latest breakthrough in edge AI. Learn about its effective parameters, PLE architecture, and agentic capabilities for 2026.
Gemma 4 Models
Explore the full capabilities of the Gemma 4 models. Learn about the 26B MoE and 31B Dense variants, their gaming applications, and performance benchmarks.
Gemma 4 Multimodal
Explore the groundbreaking capabilities of Gemma 4 multimodal models. Learn about the 26B and 31B architectures, gaming performance, and local deployment tips.
Gemma 4 Size
Explore the different Gemma 4 size options, from edge-ready models to powerful workstation tiers. Compare parameters, hardware requirements, and multimodal features.