Gemma 3n E4B Instruct
GoogleGemmaOpen WeightGemma · Usage Commercial
Description
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.
Date de sortie
2025-06-26
Paramètres
1.9B
Longueur du contexte
—
Modalités
image, text
Radar de capacités
18
general
8
coding
25
reasoning
22
science
20
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 620 | 5.0 | AA |
| Classement général | 616 | 17.0 | AA |
| Science | 627 | 15.0 | AA |
Scores 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.
Indices d'évaluation 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
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language50
Legal50
Physics50
Psychology50
Reasoning50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
Tarification
Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Aucune donnée de fournisseur disponible