Gemma 2B Specs, Benchmarks & Downloads
Gemma 2B
Google lightweight model
Status
active
Parameters
2.00
Context Window
8192
Modality
Text
Release Date
Feb 21, 2024
About
Explore Gemma 2B, a text AI model developed by Google. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.
Gemma 2B is designed for efficient 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 Gemma model
Recommended:
Use Case: Desktop inference
GPU Minimum: RTX 3060
GPU VRAM: 12GB
System RAM: 16GB
Storage: 20GB
Operating System: Linux
Recommended local usage
High Performance:
Use Case: Fast inference
GPU Minimum: RTX 4090
GPU VRAM: 24GB
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 | 29.2 % | 2024 |
|
MMLU
|
Knowledge | 26.0 % | 2024 |
Highest Benchmark
HumanEval
29.2%
Benchmarks Available
2
Latest Evaluation
Feb 2024
