Gemma 3 1B Instruct
GoogleGemmaОткрытые весаGemma · Коммерческое использование
Описание
The Gemma 3 1B model is a lightweight, 1-billion-parameter language model by Google, optimized for efficiency on resource-limited devices. At 529MB, it processes text at 2,585 tokens/second with a context window of 128,000 tokens. It supports 35+ languages but handles text-only input, unlike larger multimodal Gemma models. This balance of speed and efficiency makes it ideal for fast text processing on mobile and low-power devices.
Дата выхода
2025-03-13
Параметры
1.0B
Длина контекста
—
Модальности
—
Радар способностей
7
general
2
coding
11
reasoning
18
science
8
agents
0
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 634 | 1.0 | AA |
| Общий рейтинг | 655 | 7.0 | AA |
| Наука | 638 | 12.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
80.2%Сам.
Factuality
SimpleQA
2.2%Сам.
General
Global-MMLU-Lite
34.2%Сам.
Language
WMT24++
35.9%Сам.
MMLU-Pro
14.7%Сам.
ECLeKTic
1.4%Сам.
Math
GSM8k
62.8%Сам.
MATH
48.0%Сам.
HiddenMath
15.8%Сам.
Reasoning
Natural2Code
56.0%Сам.
HumanEvalOpenAI (2021)
41.5%Сам.
BIG-Bench Hard
39.1%Сам.
FACTS Grounding
36.4%Сам.
MBPP
0.35 / 100Сам.
GPQANYU + Cohere + Anthropic (2023)
19.2%Сам.
BIG-Bench Extra Hard
7.2%Сам.
Bird-SQL (dev)
6.4%Сам.
LiveCodeBench
1.9%Сам.
Индексы оценки AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))48.4
Gpqa(NYU + Cohere + Anthropic (2023))23.7
Ifbench(Google Research (2023))19.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))13.5
Tau2(Sierra + U Toronto + Vector Institute (2025))10.5
Hle(Center for AI Safety + Scale AI (2025))5.3
Intelligence Index(Artificial Analysis)4.8
Aime 25(MAA (Mathematical Association of America))3.3
Math Index(Artificial Analysis)3.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))1.7
Aime(MAA (Mathematical Association of America))0.0
Lcr(Artificial Analysis)0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Chat80
Instruction Following80
Structured Output80
Math40
Grounding40
Reasoning30
General30
Language20
Physics20
Factuality20
Biology20
Chemistry20
Code20
Legal10
Finance10
Healthcare10
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