Gemma 3n E2B 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
—
能力雷达图
13
general
9
coding
20
reasoning
13
science
17
agents
0
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
24.8%自报
Chemistry
OpenAI MMLU
22.3%自报
Code
HumanEvalOpenAI (2021)
66.5%自报
LiveCodeBench
13.2%自报
Codegolf v2.2
11.0%自报
Creativity
Social IQa
48.8%自报
Finance
MMLU
60.1%自报
MMLU-Pro
40.5%自报
MMLU-ProX
8.1%自报
General
PIQA
78.9%自报
ARC-E
75.8%自报
TriviaQA
60.8%自报
Global-MMLU-Lite
59.0%自报
MBPP
0.57 / 100自报
Global-MMLU
55.1%自报
ARC-C
51.7%自报
Include
38.6%自报
LiveCodeBench v5
18.6%自报
Natural Questions
15.5%自报
Language
BoolQ
76.4%自报
Winogrande
66.8%自报
BIG-Bench Hard
44.3%自报
WMT24++
42.7%自报
ECLeKTic
2.5%自报
Math
DROP
53.9%自报
MGSM
53.1%自报
HiddenMath
27.7%自报
AIME 2025
6.7%自报
Reasoning
HellaSwagAI2 (2019)
72.2%自报
AA 评测指数
(Artificial Analysis)Math Index(Artificial Analysis)10.3
Intelligence Index(Artificial Analysis)1.0
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.4
Gpqa(NYU + Cohere + Anthropic (2023))0.2
Ifbench(Google Research (2023))0.2
Aime 25(MAA (Mathematical Association of America))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Aime(MAA (Mathematical Association of America))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Lcr(Artificial Analysis)0.0
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
LLM Stats 分类评分
(LLM Stats (zeroeval))Language50
Physics50
Psychology50
Reasoning50
Creativity50
Legal40
Math40
Finance40
General40
Healthcare40
Code30
Search20
Biology20
Chemistry20
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
首Token延迟0.00s
首回答延迟0.00s
供应商价格排行
暂无提供商数据