Gemma 3n E4B 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
image, text
क्षमता रडार
18
general
8
coding
25
reasoning
22
science
20
agents
80
multimodal
रैंकिंग
| डोमेन | #रैंक | स्कोर | स्रोत |
|---|---|---|---|
| कोडिंग रैंकिंग | 617 | 5.0 | AA |
| सामान्य रैंकिंग | 613 | 17.0 | AA |
| विज्ञान | 624 | 15.0 | AA |
बेंचमार्क स्कोर (LLM Stats)
(LLM Stats (zeroeval))Code
Codegolf v2.2
16.8%स्वयं
General
TriviaQA
70.2%स्वयं
MMLU
64.9%स्वयं
Global-MMLU-Lite
64.5%स्वयं
Global-MMLU
60.3%स्वयं
Include
57.2%स्वयं
OpenAI MMLU
35.6%स्वयं
Language
BoolQ
81.6%स्वयं
MMLU-Pro
50.6%स्वयं
WMT24++
50.1%स्वयं
MMLU-ProX
19.9%स्वयं
ECLeKTic
1.9%स्वयं
Math
MGSM
60.7%स्वयं
HiddenMath
37.7%स्वयं
AIME 2025
11.6%स्वयं
Reasoning
ARC-E
81.6%स्वयं
PIQA
81.0%स्वयं
HellaSwagAI2 (2019)
78.6%स्वयं
HumanEvalOpenAI (2021)
75.0%स्वयं
Winogrande
71.7%स्वयं
MBPP
0.64 / 100स्वयं
ARC-C
61.6%स्वयं
DROP
60.8%स्वयं
BIG-Bench Hard
52.9%स्वयं
Social IQa
50.0%स्वयं
LiveCodeBench v5
25.7%स्वयं
GPQANYU + Cohere + Anthropic (2023)
23.7%स्वयं
Natural Questions
20.9%स्वयं
LiveCodeBench
13.2%स्वयं
AA मूल्यांकन सूचकांक
(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
LLM Stats श्रेणी स्कोर
(LLM Stats (zeroeval))Language50
Legal50
Physics50
Psychology50
Reasoning50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
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