Gemma 2 27B Specs, Benchmarks & Downloads
Gemma 2 27B
Google large open model
Status
active
Parameters
27.00
Context Window
8192
Modality
Text
Release Date
Jun 27, 2024
About
Explore Gemma 2 27B, a text AI model developed by Google. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.
Gemma 2 27B delivers higher capability for advanced language workloads.
Family
GemmaDeveloper
GoogleArchitecture
TransformerLicense
Gemma LicenseHardware Requirements
Minimum:
Use Case: Local inference
GPU Minimum: RTX 4090
GPU VRAM: 24GB
System RAM: 64GB
Storage: 80GB
Operating System: Linux
27B model quantized
Recommended:
Use Case: Server inference
GPU Minimum: RTX 4090
GPU VRAM: 24GB
System RAM: 128GB
Storage: 120GB
Operating System: Linux
Recommended deployment
High Performance:
Use Case: Multi GPU inference
GPU Minimum: 2x RTX 4090
GPU VRAM: 48GB
System RAM: 256GB
Storage: 180GB
Operating System: Linux
Large model deployment
Model Deployment Readiness
Model Ecosystem Support
24%
Platforms
50%
Features
1%
Downloads
20%
Platform Compatibility
50%
Supported across 6 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 | 43.3 % | 2024 |
|
MMLU
|
Knowledge | 75.2 % | 2024 |
|
HumanEval
|
Coding | 51.8 % | 2024 |
|
GSM8K
|
Mathematics | 74.0 % | 2024 |
|
HellaSwag
|
Reasoning | 86.4 % | 2024 |
|
MMLU
|
Knowledge | 75.2 % | 2024 |
Highest Benchmark
HellaSwag
86.4%
Benchmarks Available
6
Latest Evaluation
Jun 2024
