Gemma 4 E2B
Parameters
5.1B
Context Length
128K
Modality
Multimodal
Architecture
Dense
License
Apache 2.0
Release Date
2 Apr 2026
Knowledge Cutoff
-
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
128,000 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Gemma 4 E2B available.
Rankings
Overall Rank
-
Coding Rank
-
About Gemma 4 E2B
Gemma 4 E2B is an ultra-efficient model with 2.3B effective parameters (5.1B with Per-Layer Embeddings) designed for mobile and IoT devices. Supports text, image, and audio input with 128K context window, delivering frontier capabilities on edge devices with near-zero latency and offline operation. Features built-in reasoning mode and native function calling for agentic workflows.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
8
Key-Value Heads
1
Attention Head Dimension
256
Position Embedding
ROPE
RoPE Theta
10,000
Sliding Window Attention
Yes
Sliding Window Size
512
Sliding Window Ratio
83.3%
Linear Attention
No
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
GELU
Dimensions
Hidden Dimension Size
6,144
Number of Layers
35
FFN Intermediate Size (Dense)
6,144
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
262,144
About Gemma 4
Gemma 4 is Google DeepMind's most advanced open model family, built from Gemini 3 research and technology. Featuring both Dense and Mixture-of-Experts (MoE) architectures, these multimodal models handle text, images, and audio (on smaller variants), with context windows up to 256K tokens. Designed for frontier-level performance across reasoning, coding, and agentic workflows, Gemma 4 delivers unprecedented intelligence-per-parameter from mobile devices to enterprise servers. Released under Apache 2.0 license.