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Gemma 3 270M

Parameters

0.27B

Context Length

32K

Modality

Text

Architecture

Dense

License

Apache 2.0

Release Date

14 Aug 2025

Knowledge Cutoff

-

Technical Specifications

Attention Structure

Multi-Head Attention

Hidden Dimension Size

-

Number of Layers

-

Attention Heads

-

Key-Value Heads

-

Activation Function

-

Normalization

-

Position Embedding

Absolute Position Embedding

System Requirements

VRAM requirements for different quantization methods and context sizes

Gemma 3 270M

A compact open-source model optimized for hyper-efficient on-device and edge applications.

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

Evaluation Benchmarks

Ranking is for Local LLMs.

No evaluation benchmarks for Gemma 3 270M available.

Rankings

Overall Rank

-

Coding Rank

-

GPU Requirements

Full Calculator

Choose the quantization method for model weights

Context Size: 1,024 tokens

1k
16k
31k

VRAM Required:

Recommended GPUs

Gemma 3 270M: Specifications and GPU VRAM Requirements