Gemma 2 2B Specs, Benchmarks & Downloads
Gemma 2 2B
Google compact second generation model
Status
active
Parameters
2.00
Context Window
8192
Modality
Text
Release Date
Jun 27, 2024
About
Explore Gemma 2 2B, a text AI model developed by Google. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.
Gemma 2 2B is an efficient open model designed for lightweight local AI applications.
Family
GemmaDeveloper
GoogleArchitecture
TransformerLicense
Gemma LicenseHardware Requirements
Minimum:
Use Case: Local inference
GPU Minimum: GTX 1650
GPU VRAM: 4GB
System RAM: 8GB
Storage: 10GB
Operating System: Windows Linux
Small model deployment
Recommended:
Use Case: Desktop inference
GPU Minimum: RTX 3060
GPU VRAM: 12GB
System RAM: 16GB
Storage: 20GB
Operating System: Linux
Recommended local setup
High Performance:
Use Case: Fast inference
GPU Minimum: RTX 4070
GPU VRAM: 12GB
System RAM: 32GB
Storage: 30GB
Operating System: Linux
High throughput
Model Deployment Readiness
Model Ecosystem Support
21%
Platforms
42%
Features
1%
Downloads
20%
Platform Compatibility
42%
Supported across 5 of 12 platforms
Context Window
Industry-standard context window comparison
8,192
tokens
8K
4K
32K
128K
1M
2M
Database Rank
#55
Percentile
Top 46%
Capacity
Medium
Benchmark Performance
Evaluation profile across publicly reported benchmarks
|
HumanEval
|
Coding | 25.0 % | 2024 |
|
MMLU
|
Knowledge | 51.3 % | 2024 |
|
HumanEval
|
Coding | 17.7 % | 2024 |
|
GSM8K
|
Mathematics | 23.9 % | 2024 |
|
MMLU
|
Knowledge | 39.1 % | 2024 |
Highest Benchmark
MMLU
51.3%
Benchmarks Available
5
Latest Evaluation
Jun 2024
