Gemma 3 1B
Parameters
1B
Context Length
33K
Modality
Text
Architecture
Dense
License
Gemma License
Release Date
12 Mar 2025
Knowledge Cutoff
Aug 2024
API Pricing (per 1M)
Input: $0.00 · Output: $0.00
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
32,768 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
Rank
#217
| Benchmark | Score | Rank |
|---|---|---|
Professional Knowledge | 0.147 | 61 |
Graduate-Level QA | 0.192 | 125 |
Intelligence Index | 0.05 | 256 |
Rankings
Overall Rank
#217
Coding Rank
-
About Gemma 3 1B
Gemma 3 1B is Google's compact, text-only open model engineered for high-throughput, low-latency execution on mobile and edge devices. It delivers fast local generation and multilingual comprehension across a 32K token context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
4
Attention Head Dimension
-
Position Embedding
ROPE
RoPE Theta
-
Sliding Window Attention
-
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
-
Dimensions
Hidden Dimension Size
1,536
Number of Layers
26
FFN Intermediate Size (Dense)
-
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
-
About Gemma 3
Gemma 3 is a family of open, lightweight models from Google. It introduces multimodal image and text processing, supports over 140 languages, and features extended context windows up to 128K tokens. Models are available in multiple parameter sizes for diverse applications.