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
13
general
9
coding
20
reasoning
13
science
17
agents
0
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 541 | 4.0 | AA |
| Общий рейтинг | 565 | 10.0 | AA |
| Наука | 562 | 10.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
24.8%Сам.
Chemistry
OpenAI MMLU
22.3%Сам.
Code
HumanEvalOpenAI (2021)
66.5%Сам.
LiveCodeBench
13.2%Сам.
Codegolf v2.2
11.0%Сам.
Creativity
Social IQa
48.8%Сам.
Finance
MMLU
60.1%Сам.
MMLU-Pro
40.5%Сам.
MMLU-ProX
8.1%Сам.
General
PIQA
78.9%Сам.
ARC-E
75.8%Сам.
TriviaQA
60.8%Сам.
Global-MMLU-Lite
59.0%Сам.
MBPP
0.57 / 100Сам.
Global-MMLU
55.1%Сам.
ARC-C
51.7%Сам.
Include
38.6%Сам.
LiveCodeBench v5
18.6%Сам.
Natural Questions
15.5%Сам.
Language
BoolQ
76.4%Сам.
Winogrande
66.8%Сам.
BIG-Bench Hard
44.3%Сам.
WMT24++
42.7%Сам.
ECLeKTic
2.5%Сам.
Math
DROP
53.9%Сам.
MGSM
53.1%Сам.
HiddenMath
27.7%Сам.
AIME 2025
6.7%Сам.
Reasoning
HellaSwagAI2 (2019)
72.2%Сам.
Индексы оценки AA
(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
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Physics50
Psychology50
Reasoning50
Language50
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