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 | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 617 | 5.0 | AA |
| Ranking general | 613 | 17.0 | AA |
| Ciencia | 624 | 15.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
16.8%Aut.
General
TriviaQA
70.2%Aut.
MMLU
64.9%Aut.
Global-MMLU-Lite
64.5%Aut.
Global-MMLU
60.3%Aut.
Include
57.2%Aut.
OpenAI MMLU
35.6%Aut.
Language
BoolQ
81.6%Aut.
MMLU-Pro
50.6%Aut.
WMT24++
50.1%Aut.
MMLU-ProX
19.9%Aut.
ECLeKTic
1.9%Aut.
Math
MGSM
60.7%Aut.
HiddenMath
37.7%Aut.
AIME 2025
11.6%Aut.
Reasoning
ARC-E
81.6%Aut.
PIQA
81.0%Aut.
HellaSwagAI2 (2019)
78.6%Aut.
HumanEvalOpenAI (2021)
75.0%Aut.
Winogrande
71.7%Aut.
MBPP
0.64 / 100Aut.
ARC-C
61.6%Aut.
DROP
60.8%Aut.
BIG-Bench Hard
52.9%Aut.
Social IQa
50.0%Aut.
LiveCodeBench v5
25.7%Aut.
GPQANYU + Cohere + Anthropic (2023)
23.7%Aut.
Natural Questions
20.9%Aut.
LiveCodeBench
13.2%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 10.7
Tau Banking0.2
Lcr(Artificial Analysis)0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language50
Legal50
Physics50
Psychology50
Reasoning50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
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