Gemma 3 1B Instruct
GoogleGemma開源權重Gemma · 商用許可
描述
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.
發布日期
2025-03-13
參數規模
1.0B
上下文長度
—
支援模態
—
能力雷達圖
7
general
2
coding
11
reasoning
18
science
8
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
80.2%自報
Factuality
SimpleQA
2.2%自報
General
Global-MMLU-Lite
34.2%自報
Language
WMT24++
35.9%自報
MMLU-Pro
14.7%自報
ECLeKTic
1.4%自報
Math
GSM8k
62.8%自報
MATH
48.0%自報
HiddenMath
15.8%自報
Reasoning
Natural2Code
56.0%自報
HumanEvalOpenAI (2021)
41.5%自報
BIG-Bench Hard
39.1%自報
FACTS Grounding
36.4%自報
MBPP
0.35 / 100自報
GPQANYU + Cohere + Anthropic (2023)
19.2%自報
BIG-Bench Extra Hard
7.2%自報
Bird-SQL (dev)
6.4%自報
LiveCodeBench
1.9%自報
AA 評測指數
(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
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat80
Instruction Following80
Structured Output80
Math40
Grounding40
Reasoning30
General30
Language20
Physics20
Factuality20
Biology20
Chemistry20
Code20
Legal10
Finance10
Healthcare10
定價
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速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
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