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EvolvingLMMs-Lab/NEO

Open-source native vision-language models (NEO series) that process pixels and words in one encoder-free dense architecture, with 2B and 9B releases.

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Key features

  • 01Encoder-free dense architecture that unifies pixel and word encoding in one model.
  • 022B and 9B model weights released across training stages.
  • 03Evaluation guide and code built on VLMEvalKit.
  • 04Training code for NEO models in a dedicated guide.
  • 05Covers single-image, multi-image, video and spatial understanding tasks.

Use cases

  • Researching native or encoder-free multimodal model design.
  • Benchmarking vision-language models on image, video and spatial tasks.
  • Fine-tuning a compact 2B or 9B VLM on custom image-text data.

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FAQ

What is NEO?
Open-source native vision-language models (NEO series) that process pixels and words in one encoder-free dense architecture, with 2B and 9B releases.
Is NEO free to use? What license does it have?
NEO is open source under the Apache-2.0 license. Check the license terms before using it in commercial products.
Is NEO still maintained?
Updated within 6 months. The last commit to NEO was on Jul 27, 2026.
What can I use NEO for?
Researching native or encoder-free multimodal model design. Benchmarking vision-language models on image, video and spatial tasks. Fine-tuning a compact 2B or 9B VLM on custom image-text data.
Where can I get NEO?
The source code and installation instructions are on GitHub: https://github.com/EvolvingLMMs-Lab/NEO

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