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Gemma 2 2b

by Google DeepMind · Released Jul 2024

Open Source
18.8
avg score
Rank #207
Compare
Better than 10% of all models
Context
N/A
Input $/1M
TBD
Output $/1M
TBD
Type
text-generation
License
Open Source
Benchmarks
6 tested
Data updated today
About

Google text generation model. 496K downloads on HuggingFace.

Tested on 6 benchmarks with 10.4% average. Top scores: IFEval (20.2%), MMLU-PRO (13.5%), BBH (HuggingFace) (12.5%).

Capabilities
reasoning
11.3
#126 globally
math
3.0
#198 globally
knowledge
7.6
#213 globally
general
12.5
#49 globally
language
20.2
#141 globally
Benchmark Scores
Compare All
Tested on 6 benchmarks · Ranked across 5 categories
Score Distribution (all 231 models)
0255075100
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MUSR

HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.

11.3
MATH Level 5

HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.

3.0
MMLU-PRO

HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.

13.5
GPQA

HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.

1.7
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
google-gemma-2-2b
Specifications
  • Typetext-generation
  • ContextN/A
  • ReleasedJul 2024
  • LicenseOpen Source
  • StatusActive
Available On
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Gemma 2 2b is an open-source text-generation AI model by Google DeepMind, released in July 2024. It has an average benchmark score of 18.8.