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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
33K
支持模态
image, text

能力雷达图

16
general
13
coding
25
reasoning
17
science估算
21
agents
80
multimodal

Science 在缺少专门科学评测时使用推理能力代理估算。

排行榜排名

领域#排名分数来源
代码能力榜465
7.0
AA
通用能力榜476
16.0
AA
数学推理284
26.0
AA
推理能力35
79.0
LS
科学能力480
14.0
AA

基准测试分数 (LLM Stats)

Biology

GPQA23.7%自报

Code

HumanEval75.0%自报
Codegolf v2.216.8%自报
LiveCodeBench13.2%自报

Creativity

Social IQa50.0%自报

Finance

MMLU64.9%自报
MMLU-Pro50.6%自报
MMLU-ProX19.9%自报

General

ARC-E81.6%自报
PIQA81.0%自报
TriviaQA70.2%自报
Global-MMLU-Lite64.5%自报
MBPP0.64 / 100自报
ARC-C61.6%自报
Global-MMLU60.3%自报
Include57.2%自报
LiveCodeBench v525.7%自报
Natural Questions20.9%自报

Language

BoolQ81.6%自报
Winogrande71.7%自报
BIG-Bench Hard52.9%自报
WMT24++50.1%自报
ECLeKTic1.9%自报

Math

DROP60.8%自报
MGSM60.7%自报
HiddenMath37.7%自报
AIME 202511.6%自报

Reasoning

HellaSwag78.6%自报

AA 评测指数

Math Index
14.3
Intelligence Index
1.2
Math 500
0.8
Mmlu Pro
0.5
Gpqa
0.3
Ifbench
0.3
Livecodebench
0.1
Aime 25
0.1
Aime
0.1
Scicode
0.1
Tau2
0.0
Hle
0.0
Terminalbench Hard
0.0
Lcr
0.0

LLM Stats 分类评分

Physics
50
Psychology
50
Reasoning
50
Language
50
Legal
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$0.02 / 1M tokens
输出价格$0.04 / 1M tokens
混合价格(3:1)$0.025 / 1M tokens

速度

Tokens/秒55.0
首Token延迟0.48s
首回答延迟0.48s

供应商价格排行

供应商价格排行

2 个供应商

最便宜: Google最贵: Together AI
供应商输入输出
1Google主要
$0.02
$0.04
2Together AI
$0.06
$0.12

比较该模型在不同 API 供应商之间的定价。

外部链接