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Ovis2.6-80B-A3B: MoE multimodal model with active vision

Read original on Reddit r/LocalLLaMA
#multimodal#moe

A high-performance MoE multimodal model that actively manipulates images to improve reasoning accuracy.

30-Second TL;DR

What Changed

MoE architecture with 80B total parameters and ~3B active parameters for efficient serving.

Why It Matters

Significantly lowers the cost of serving high-performance multimodal models while introducing active cognitive visual reasoning.

What To Do Next

Benchmark Ovis2.6 on your document-heavy visual tasks to see if the active visual reasoning improves accuracy over standard MLLMs.

Who should care:Researchers & Academics

Key Points

  • MoE architecture with 80B total parameters and ~3B active parameters for efficient serving.
  • Supports 64K context window and 2880x2880 high-resolution image processing.
  • Introduces 'Think with Image' for active visual tool invocation like cropping and rotation.
  • Enhanced OCR and document reasoning capabilities for complex chart analysis.

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Original source: Reddit r/LocalLLaMA

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