NeoMME: an efficient Multimodal-native and Multilingual Encoder
• 111
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
-
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Paper • 2609.01657 • Published • 34 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 3.82k • • 16 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 207 • 8 -
NeoMME-Retriever - Demo
🔎8Visual 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 • 34 -
Hcompany/NeoMME-260M
Feature Extraction • 0.3B • Updated • 3.82k • • 16 -
Hcompany/NeoMME-800M
Feature Extraction • 0.8B • Updated • 207 • 8 -
NeoMME-Retriever - Demo
🔎8Visual document retrieval and RAG with NeoMME-Retriever