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Gemma 3n E4B 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
image, text

Radar de capacidades

18
general
8
coding
25
reasoning
22
science
20
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación617
5.0
AA
Ranking general613
17.0
AA
Ciencia624
15.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Code

Codegolf v2.216.8%Aut.

General

TriviaQA70.2%Aut.
MMLU64.9%Aut.
Global-MMLU-Lite64.5%Aut.
Global-MMLU60.3%Aut.
Include57.2%Aut.
OpenAI MMLU35.6%Aut.

Language

BoolQ81.6%Aut.
MMLU-Pro50.6%Aut.
WMT24++50.1%Aut.
MMLU-ProX19.9%Aut.
ECLeKTic1.9%Aut.

Math

MGSM60.7%Aut.
HiddenMath37.7%Aut.
AIME 202511.6%Aut.

Reasoning

ARC-E81.6%Aut.
PIQA81.0%Aut.
HellaSwagAI2 (2019)78.6%Aut.
HumanEvalOpenAI (2021)75.0%Aut.
Winogrande71.7%Aut.
MBPP0.64 / 100Aut.
ARC-C61.6%Aut.
DROP60.8%Aut.
BIG-Bench Hard52.9%Aut.
Social IQa50.0%Aut.
LiveCodeBench v525.7%Aut.
GPQANYU + Cohere + Anthropic (2023)23.7%Aut.
Natural Questions20.9%Aut.
LiveCodeBench13.2%Aut.

Índices de evaluación 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 1
0.7
Tau Banking
0.2
Lcr(Artificial Analysis)
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Language
50
Legal
50
Physics
50
Psychology
50
Reasoning
50
Finance
50
General
50
Healthcare
50
Creativity
50
Math
40
Code
40
Search
20
Biology
20
Chemistry
20

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

Fuentes externas