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Gemma 3 27B

Parameters

27B

Context Length

128K

Modality

Multimodal

Auxiliary Parameters

430M

Architecture

Dense

License

Gemma Terms of Use

Release Date

12 Mar 2025

Knowledge Cutoff

Aug 2024

API Pricing (per 1M)

Input: $0.08 · Output: $0.35

System Requirements

VRAM requirements for different quantization methods and context sizes

1,024 tokens

54.68 GB VRAM

Consumer

3x RTX 4090

24GB VRAM

Datacenter

1x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

128,000 tokens

101.47 GB VRAM

Consumer

5x RTX 4090

24GB VRAM

Datacenter

2x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

Architecture Diagram

Evaluation Benchmarks

Rank

#163

BenchmarkScoreRank

0.372

28

Professional Knowledge

MMLU Pro

0.675

48

Graduate-Level QA

GPQA

0.424

113

Agentic Index

Artificial Analysis

0.1

128

General Text

Text Arena

1365

131

0.10

145

Intelligence Index

Artificial Analysis

0.05

334

StackEval

Archived
ProLLM Stack Eval

0.905

8

Summarization

Archived
ProLLM Summarization

0.802

12

QA Assistant

Archived
ProLLM QA Assistant

0.913

14

Coding

Archived
Aider Coding

0.05

24

Rankings

Overall Rank

#163

Coding Rank

#131

About Gemma 3 27B

Gemma 3 is a family of lightweight, state-of-the-art models developed by Google DeepMind, designed with research and technology derived from the Gemini models. The Gemma 3 27B variant is a multimodal model engineered to process both textual and image inputs, generating text-based outputs. This model variant is intended for broad application across various generation tasks, including question answering, summarization, and complex reasoning, and supports over 140 languages. Its design focuses on enabling deployment on a range of hardware, from consumer-grade devices like laptops and workstations to specialized cloud infrastructure.

Technical Specifications

Attention

Attention Structure

Grouped-Query Attention

Attention Heads

64

Key-Value Heads

16

Position Embedding

ROPE

Normalization

RMS Normalization

Dimensions

Auxiliary Parameters

430M

Hidden Dimension Size

4,096

Number of Layers

46

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.


Other Gemma 3 Models