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
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
16.8%自報
General
TriviaQA
70.2%自報
MMLU
64.9%自報
Global-MMLU-Lite
64.5%自報
Global-MMLU
60.3%自報
Include
57.2%自報
OpenAI MMLU
35.6%自報
Language
BoolQ
81.6%自報
MMLU-Pro
50.6%自報
WMT24++
50.1%自報
MMLU-ProX
19.9%自報
ECLeKTic
1.9%自報
Math
MGSM
60.7%自報
HiddenMath
37.7%自報
AIME 2025
11.6%自報
Reasoning
ARC-E
81.6%自報
PIQA
81.0%自報
HellaSwagAI2 (2019)
78.6%自報
HumanEvalOpenAI (2021)
75.0%自報
Winogrande
71.7%自報
MBPP
0.64 / 100自報
ARC-C
61.6%自報
DROP
60.8%自報
BIG-Bench Hard
52.9%自報
Social IQa
50.0%自報
LiveCodeBench v5
25.7%自報
GPQANYU + Cohere + Anthropic (2023)
23.7%自報
Natural Questions
20.9%自報
LiveCodeBench
13.2%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 10.7
Tau Banking0.2
Lcr(Artificial Analysis)0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Language50
Legal50
Physics50
Psychology50
Reasoning50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
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