NeoMME: an efficient Multimodal-native and Multilingual Encoder
• 99
AI & ML interests
None defined yet.
Recent Activity
Papers
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Surfer 2: The Next Generation of Cross-Platform Computer Use Agents
Articles
Computer use - edge to cloud
Holo1.5 - Open Foundation Models for Computer Use Agents
Meet NeoMME: a family of 260M and 800M Multimodal-Native Multilingual Encoders
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NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Paper • 2609.01657 • Published • 29 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 1.49k • • 13 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 160 • 5 -
NeoMME-Retriever - Demo
🔎7Visual document retrieval and RAG with NeoMME-Retriever
Computer use - edge to cloud
Holo2 - Cost-Efficient Models for Cross-Platform Computer-Use Agents
Holo1.5 - Open Foundation Models for Computer Use Agents
Vision-Language Action Model for use in Surfer-H web navigation agent
Meet NeoMME: a family of 260M and 800M Multimodal-Native Multilingual Encoders
-
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Paper • 2609.01657 • Published • 29 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 1.49k • • 13 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 160 • 5 -
NeoMME-Retriever - Demo
🔎7Visual document retrieval and RAG with NeoMME-Retriever