๐ฆReddit r/LocalLLaMAโขStalecollected in 6h
Ovis2.6-80B-A3B: MoE multimodal model with active vision
๐กA high-performance MoE multimodal model that actively manipulates images to improve reasoning accuracy.
โก 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
- โขMoE architecture with 80B total parameters and ~3B active parameters for efficient serving.
- โขSupports 64K context window and 2880x2880 high-resolution image processing.
- โขIntroduces 'Think with Image' for active visual tool invocation like cropping and rotation.
- โขEnhanced OCR and document reasoning capabilities for complex chart analysis.
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Original source: Reddit r/LocalLLaMA โ