मुख्य सामग्री पर जाएं

Gemma 3n E2B Instruct

GoogleGemmaओपन वेटGemma · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2025-06-26
पैरामीटर
1.9B
संदर्भ लंबाई
—
मोडैलिटीज़
—

क्षमता रडार

15
general
10
coding
20
reasoning
17
science
17
agents
0
multimodal

रैंकिंग

डोमेन#रैंकस्कोरस्रोत
कोडिंग रैंकिंग626
4.0
AA
सामान्य रैंकिंग644
12.0
AA
विज्ञान656
10.0
AA

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Code

Codegolf v2.211.0%स्वयं

General

TriviaQA60.8%स्वयं
MMLU60.1%स्वयं
Global-MMLU-Lite59.0%स्वयं
Global-MMLU55.1%स्वयं
Include38.6%स्वयं
OpenAI MMLU22.3%स्वयं

Language

BoolQ76.4%स्वयं
WMT24++42.7%स्वयं
MMLU-Pro40.5%स्वयं
MMLU-ProX8.1%स्वयं
ECLeKTic2.5%स्वयं

Math

MGSM53.1%स्वयं
HiddenMath27.7%स्वयं
AIME 20256.7%स्वयं

Reasoning

PIQA78.9%स्वयं
ARC-E75.8%स्वयं
HellaSwagAI2 (2019)72.2%स्वयं
Winogrande66.8%स्वयं
HumanEvalOpenAI (2021)66.5%स्वयं
MBPP0.57 / 100स्वयं
DROP53.9%स्वयं
ARC-C51.7%स्वयं
Social IQa48.8%स्वयं
BIG-Bench Hard44.3%स्वयं
GPQANYU + Cohere + Anthropic (2023)24.8%स्वयं
LiveCodeBench v518.6%स्वयं
Natural Questions15.5%स्वयं
LiveCodeBench13.2%स्वयं

AA मूल्यांकन सूचकांक

(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

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Language
50
Physics
50
Psychology
50
Reasoning
50
Creativity
50
Legal
40
Math
40
Finance
40
General
40
Healthcare
40
Code
30
Search
20
Biology
20
Chemistry
20

मूल्य निर्धारण

इनपुट मूल्यमुफ्त
आउटपुट मूल्यमुफ्त
मिश्रित मूल्य (3:1)मुफ्त

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

कोई प्रदाता डेटा उपलब्ध नहीं

बाहरी लिंक