AI Research Atlas

DeepSeek-VL2

DeepSeek · 13 December 2024

MoE vision-language models with 1.0B, 2.8B and 4.5B active parameters, using MLA and dynamic tiling for high-resolution images.

Moves DeepSeek-VL onto DeepSeekMoE with Multi-head Latent Attention and dynamic-tiling vision encoding; strong on OCR, charts, documents and grounding for its active-parameter size.

Date
Friday, 13 December 2024
Lab
DeepSeek
Kind
open-weights
Access
open weights (restricted license)

Figures

MeasureValueMeasured by
Activated parameters1.0B / 2.8B / 4.5B
Tiny / Small / full
company

Sources

  1. arxiv.org/abs/2412.10302
  2. github.com/deepseek-ai/DeepSeek-VL2

This record was checked against its sources on 6 October 2026. How we check

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