Gemma 3n E2B 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
—
Radar de capacités
15
general
10
coding
20
reasoning
17
science
17
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 616 | 4.0 | AA |
| Classement général | 635 | 12.0 | AA |
| Science | 646 | 10.0 | AA |
Scores 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.
Indices d'évaluation 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
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language50
Physics50
Psychology50
Reasoning50
Creativity50
Legal40
Math40
Finance40
General40
Healthcare40
Code30
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