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Gemma 3n E4B Instruct

GoogleGemma开源权重Gemma · 商用许可

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.

发布日期
2025-06-26
参数规模
1.9B
上下文长度
—
支持模态
image, text

能力雷达图

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

排行榜排名

领域#排名分数来源
代码能力榜619
5.0
AA
通用能力榜615
17.0
AA
科学能力626
15.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Code

Codegolf v2.216.8%自报

General

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

Language

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

Math

MGSM60.7%自报
HiddenMath37.7%自报
AIME 202511.6%自报

Reasoning

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

AA 评测指数

(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 分类评分

(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

定价

输入价格免费
输出价格免费
混合价格(3:1)免费

速度

Tokens/秒0.0
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首回答延迟0.00s

供应商价格排行

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