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Gemma 3n E4B Instruct

GoogleGemma開源權重Gemma · 商用許可

描述

Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. It features innovations like Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture for reduced compute and memory. These models handle audio, text, and visual data, though this E4B preview currently supports text and vision input. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models, and is licensed for responsible commercial use.

發布日期
2025-06-26
參數規模
1.9B
上下文長度
—
支援模態
image, text

能力雷達圖

18
general
8
coding
25
reasoning
22
science
20
agents
80
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜619
5.0
AA
通用能力榜615
17.0
AA
科學能力626
15.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Code

Codegolf v2.216.8%自報

General

TriviaQA70.2%自報
MMLU64.9%自報
Global-MMLU-Lite64.5%自報
Global-MMLU60.3%自報
Include57.2%自報
OpenAI MMLU35.6%自報

Language

BoolQ81.6%自報
MMLU-Pro50.6%自報
WMT24++50.1%自報
MMLU-ProX19.9%自報
ECLeKTic1.9%自報

Math

MGSM60.7%自報
HiddenMath37.7%自報
AIME 202511.6%自報

Reasoning

ARC-E81.6%自報
PIQA81.0%自報
HellaSwagAI2 (2019)78.6%自報
HumanEvalOpenAI (2021)75.0%自報
Winogrande71.7%自報
MBPP0.64 / 100自報
ARC-C61.6%自報
DROP60.8%自報
BIG-Bench Hard52.9%自報
Social IQa50.0%自報
LiveCodeBench v525.7%自報
GPQANYU + Cohere + Anthropic (2023)23.7%自報
Natural Questions20.9%自報
LiveCodeBench13.2%自報

AA 評測指數

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
77.1
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
48.8
Gpqa(NYU + Cohere + Anthropic (2023))
29.6
Ifbench(Google Research (2023))
27.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
14.6
Aime 25(MAA (Mathematical Association of America))
14.3
Math Index(Artificial Analysis)
14.3
Aime(MAA (Mathematical Association of America))
13.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
5.0
Intelligence Index(Artificial Analysis)
4.8
Hle(Center for AI Safety + Scale AI (2025))
4.5
Coding Index(Artificial Analysis)
3.2
Terminalbench Hard(Stanford × Laude Institute (2026))
2.3
Terminalbench V2 1
0.7
Tau Banking
0.2
Lcr(Artificial Analysis)
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Language
50
Legal
50
Physics
50
Psychology
50
Reasoning
50
Finance
50
General
50
Healthcare
50
Creativity
50
Math
40
Code
40
Search
20
Biology
20
Chemistry
20

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