Gemma 3n E2B Instruct
GoogleGemmaОткрытые весаGemma · Коммерческое использование
Описание
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.
Дата выхода
2025-06-26
Параметры
1.9B
Длина контекста
—
Модальности
—
Радар способностей
15
general
10
coding
20
reasoning
17
science
17
agents
0
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 623 | 4.0 | AA |
| Общий рейтинг | 641 | 12.0 | AA |
| Наука | 653 | 10.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
11.0%Сам.
General
TriviaQA
60.8%Сам.
MMLU
60.1%Сам.
Global-MMLU-Lite
59.0%Сам.
Global-MMLU
55.1%Сам.
Include
38.6%Сам.
OpenAI MMLU
22.3%Сам.
Language
BoolQ
76.4%Сам.
WMT24++
42.7%Сам.
MMLU-Pro
40.5%Сам.
MMLU-ProX
8.1%Сам.
ECLeKTic
2.5%Сам.
Math
MGSM
53.1%Сам.
HiddenMath
27.7%Сам.
AIME 2025
6.7%Сам.
Reasoning
PIQA
78.9%Сам.
ARC-E
75.8%Сам.
HellaSwagAI2 (2019)
72.2%Сам.
Winogrande
66.8%Сам.
HumanEvalOpenAI (2021)
66.5%Сам.
MBPP
0.57 / 100Сам.
DROP
53.9%Сам.
ARC-C
51.7%Сам.
Social IQa
48.8%Сам.
BIG-Bench Hard
44.3%Сам.
GPQANYU + Cohere + Anthropic (2023)
24.8%Сам.
LiveCodeBench v5
18.6%Сам.
Natural Questions
15.5%Сам.
LiveCodeBench
13.2%Сам.
Индексы оценки AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))69.1
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))37.8
Gpqa(NYU + Cohere + Anthropic (2023))22.9
Ifbench(Google Research (2023))22.0
Aime 25(MAA (Mathematical Association of America))10.3
Math Index(Artificial Analysis)10.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))9.5
Aime(MAA (Mathematical Association of America))9.0
Intelligence Index(Artificial Analysis)4.8
Hle(Center for AI Safety + Scale AI (2025))4.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.8
Lcr(Artificial Analysis)0.0
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Language50
Physics50
Psychology50
Reasoning50
Creativity50
Legal40
Math40
Finance40
General40
Healthcare40
Code30
Search20
Biology20
Chemistry20
Цены
Цена вводаБесплатно
Цена выводаБесплатно
Смешанная цена (3:1)Бесплатно
Скорость
Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s
Рейтинг цен провайдеров
Нет данных провайдеров