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DeepSeek VL2 Tiny

DeepSeekDeepSeekOpen Weightdeepseek

Description

An advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL. DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical character recognition, document/table/chart understanding, and visual grounding.

Release Date
2024-12-13
Parameters
3.0B
Context Length
Modalities

Capability Radar

60
general
0
coding
50
reasoning
34
scienceest.
35
agents
80
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

Domain#RankScoreSource
Multimodal Ranking81
22.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

General

MMT-Bench53.2%SR
MMStar45.9%SR
MMMU40.7%SR

Image To Text

DocVQADocVQA (2020)88.9%SR
OCRBench80.9%SR
TextVQA80.7%SR

Math

MathVista53.6%SR

Multimodal

ChartQAMasry et al. (2022)81.0%SR
AI2D71.6%SR
MMBench69.2%SR
MMBench-V1.168.3%SR
InfoVQA66.1%SR
MME19.1%SR

Spatial Reasoning

RealWorldQA64.2%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Image To Text
80
Multimodal
60
Reasoning
60
Spatial Reasoning
60
General
60
Vision
60
Math
50
Healthcare
40

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources