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NeoMME: an efficient Multimodal-native and Multilingual Encoder

Hugging Face · published 3 September 2026

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https://hf.co/collections/Hcompany/neomme

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https://huggingface.co/papers/2609.01657

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https://arxiv.org/abs/2609.01657

arxiv.org

https://huggingface.co/spaces/tonywu71/neomme-retriever-demo

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Finally, a Replacement for BERT: Introducing ModernBERT Read at the source ↗

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https://huggingface.co/blog/paultltc/modernvbert

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https://huggingface.co/Hcompany/NeoMME-260M

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https://huggingface.co/Hcompany/NeoMME-800M

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https://huggingface.co/blog/manu/colpali

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https://x.com/lateinteraction/status/1894696983077785980

x.com

https://meet.ameliechatelain.com/lectures/multi-vector-search/

meet.ameliechatelain.com

https://github.com/lightonai/next-plaid

github.com

https://huggingface.co/vultr/VultronRetrieverFlash-Qwen3.5-0.8B

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https://huggingface.co/ModernVBERT/colmodernvbert

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https://huggingface.co/vidore/colSmol-256M

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https://huggingface.co/Hcompany/NeoMME-260M-Retriever

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https://huggingface.co/vidore/colSmol-500M

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https://huggingface.co/Hcompany/NeoMME-800M-Retriever

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https://huggingface.co/vidore/colqwen2.5-v0.2

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https://huggingface.co/vidore/colpali-v1.3

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https://www.answer.ai/posts/colbert-pooling.html

answer.ai

https://www.mixedbread.com/blog/asymmetric-quant

mixedbread.com

https://huggingface.co/Hcompany/NeoMME-260M-Retriever-ST-dense

huggingface.co

https://huggingface.co/Hcompany/NeoMME-260M-Retriever-ST-late

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Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers Read at the source ↗

huggingface.co

https://huggingface.co/docs/transformers/main/en/model_doc/neomme

huggingface.co