Gemma 3n E2B Instruct
GoogleGemmaOpen WeightGemma · Uso Comercial
Descripción
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.
Fecha de lanzamiento
2025-06-26
Parámetros
1.9B
Longitud del contexto
—
Modalidades
—
Radar de capacidades
15
general
10
coding
20
reasoning
17
science
17
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 623 | 4.0 | AA |
| Ranking general | 641 | 12.0 | AA |
| Ciencia | 653 | 10.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
11.0%Aut.
General
TriviaQA
60.8%Aut.
MMLU
60.1%Aut.
Global-MMLU-Lite
59.0%Aut.
Global-MMLU
55.1%Aut.
Include
38.6%Aut.
OpenAI MMLU
22.3%Aut.
Language
BoolQ
76.4%Aut.
WMT24++
42.7%Aut.
MMLU-Pro
40.5%Aut.
MMLU-ProX
8.1%Aut.
ECLeKTic
2.5%Aut.
Math
MGSM
53.1%Aut.
HiddenMath
27.7%Aut.
AIME 2025
6.7%Aut.
Reasoning
PIQA
78.9%Aut.
ARC-E
75.8%Aut.
HellaSwagAI2 (2019)
72.2%Aut.
Winogrande
66.8%Aut.
HumanEvalOpenAI (2021)
66.5%Aut.
MBPP
0.57 / 100Aut.
DROP
53.9%Aut.
ARC-C
51.7%Aut.
Social IQa
48.8%Aut.
BIG-Bench Hard
44.3%Aut.
GPQANYU + Cohere + Anthropic (2023)
24.8%Aut.
LiveCodeBench v5
18.6%Aut.
Natural Questions
15.5%Aut.
LiveCodeBench
13.2%Aut.
Índices de evaluación 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
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language50
Physics50
Psychology50
Reasoning50
Creativity50
Legal40
Math40
Finance40
General40
Healthcare40
Code30
Search20
Biology20
Chemistry20
Precios
Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
No hay datos de proveedores disponibles