Gemma 3n E2B 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
—
能力雷達圖
13
general
9
coding
20
reasoning
13
science
17
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
24.8%自報
Chemistry
OpenAI MMLU
22.3%自報
Code
HumanEvalOpenAI (2021)
66.5%自報
LiveCodeBench
13.2%自報
Codegolf v2.2
11.0%自報
Creativity
Social IQa
48.8%自報
Finance
MMLU
60.1%自報
MMLU-Pro
40.5%自報
MMLU-ProX
8.1%自報
General
PIQA
78.9%自報
ARC-E
75.8%自報
TriviaQA
60.8%自報
Global-MMLU-Lite
59.0%自報
MBPP
0.57 / 100自報
Global-MMLU
55.1%自報
ARC-C
51.7%自報
Include
38.6%自報
LiveCodeBench v5
18.6%自報
Natural Questions
15.5%自報
Language
BoolQ
76.4%自報
Winogrande
66.8%自報
BIG-Bench Hard
44.3%自報
WMT24++
42.7%自報
ECLeKTic
2.5%自報
Math
DROP
53.9%自報
MGSM
53.1%自報
HiddenMath
27.7%自報
AIME 2025
6.7%自報
Reasoning
HellaSwagAI2 (2019)
72.2%自報
AA 評測指數
(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 分類評分
(LLM Stats (zeroeval))Physics50
Psychology50
Reasoning50
Language50
Creativity50
Legal40
Math40
Finance40
General40
Healthcare40
Code30
Search20
Biology20
Chemistry20
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