Gemma 3n E4B 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
image, text
Радар способностей
18
general
8
coding
25
reasoning
22
science
20
agents
80
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 610 | 5.0 | AA |
| Общий рейтинг | 608 | 17.0 | AA |
| Наука | 617 | 15.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
16.8%Сам.
General
TriviaQA
70.2%Сам.
MMLU
64.9%Сам.
Global-MMLU-Lite
64.5%Сам.
Global-MMLU
60.3%Сам.
Include
57.2%Сам.
OpenAI MMLU
35.6%Сам.
Language
BoolQ
81.6%Сам.
MMLU-Pro
50.6%Сам.
WMT24++
50.1%Сам.
MMLU-ProX
19.9%Сам.
ECLeKTic
1.9%Сам.
Math
MGSM
60.7%Сам.
HiddenMath
37.7%Сам.
AIME 2025
11.6%Сам.
Reasoning
ARC-E
81.6%Сам.
PIQA
81.0%Сам.
HellaSwagAI2 (2019)
78.6%Сам.
HumanEvalOpenAI (2021)
75.0%Сам.
Winogrande
71.7%Сам.
MBPP
0.64 / 100Сам.
ARC-C
61.6%Сам.
DROP
60.8%Сам.
BIG-Bench Hard
52.9%Сам.
Social IQa
50.0%Сам.
LiveCodeBench v5
25.7%Сам.
GPQANYU + Cohere + Anthropic (2023)
23.7%Сам.
Natural Questions
20.9%Сам.
LiveCodeBench
13.2%Сам.
Индексы оценки AA
(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
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Language50
Legal50
Physics50
Psychology50
Reasoning50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
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