T-E-A/Altitude-V1-2B-Base
Updated • 38
Technically Enriched Access
non-profit
AI & ML interests
None defined yet.
Recent Activity
Organization Card
T-E-A
Advancing unrestricted, highly optimized multimodal AI for the global community.
🌟 About Us
We are a non-profit organization dedicated to the research, development, and democratization of open-source artificial intelligence. Our primary focus is building highly optimized, uncensored, and versatile models that remain accessible to all.
By prioritizing open-weights architectures, we aim to provide researchers and developers with unrestricted base models that serve as transparent foundations for downstream applications.
🛠️ Technical Focus & Core Research
Our research and development efforts are centered on pushing the boundaries of model efficiency and modality integration:
- All-to-Text Multimodal Capabilities: Building unified architectures capable of processing diverse input modalities—including text, image, audio, and video—and mapping them into cohesive text representations.
- Linear Attention Mechanisms: Exploring and scaling linear attention alternatives to traditional Softmax attention, enabling longer context windows and highly reduced computational overhead during inference.
- Multi-Token Prediction (MTP): Implementing MTP training paradigms to improve sample efficiency, speed up generation, and optimize compute usage during both training and deployment.
- Uncensored & Open-Weights Foundations: Committing to raw model capabilities and academic transparency by releasing uncensored base and instruct models free of arbitrary alignment constraints.
🚀 Featured Models & Repositories
| Model Family | Description | Core Architecture | Links |
|---|---|---|---|
| Altitude-V1-2B-Base | Edge adopted audio-video-text-to-text multimodal model of Altitude V1 family | Multimodal Transformer | Model |
| Altitude-V1-6B-Base | Balanced audio-video-text-to-text multimodal model of Altitude V1 family | Multimodel Transformer | Model |
| Altitude-V1-2B-R | Improved knowledge of Altitude-V1-2B-Base | Multimodal Transformer | Model |
| Altitude-V1-6B-R | Improved knowledge of Altitude-V1-6B-Base | Multimodel Transformer | Model |
🤝 How to Support & Collaborate
As a non-profit, our work depends heavily on community collaboration and external support. Here is how you can get involved:
- Code & Research Contributions: File issues, submit suggestions, or try to be part of the team by joining our Discord.
- Compute Donations: If you or your organization can provide portable compute resources to support our next training run, please get in touch, we will love that <3.
📬 Connect With Us
- Discord / Community: Join our Server
© 2026 T-E-A. Distributed under open-source licenses Apache 2.0.
datasets 0
None public yet