SOVYN
AI & ML interests
None defined yet.
Recent Activity
Independent AI Research & Open Model Development
Building efficient language models for real-world use.
SOVYN
What we buildSOVYN develops language models with an emphasis on: Efficient training Local inference Multilingual intelligence Open research |
Research areasLanguage Modeling ├── Korean ├── English ├── Code └── Reasoning Efficiency ├── Architecture ├── Training ├── Tokenization └── Inference Open Research ├── Models ├── Datasets ├── Evaluations └── Experiments |
Model Generations
SOVYN 1First Generation Compact language models and foundational experiments.
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SOVYN 2Second Generation Expanded language capability and architecture research.
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SOVYN 2.3Current Generation The next step in the SOVYN model family.
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SOVYN 2.3
One model family.
Different levels of compute, speed and capability.
Mini
Small footprint. |
Fast
Optimized for |
Pro
Capability and |
Max
The largest model |
Research Principles
01Build from first principlesWe experiment with architecture, data and training instead of treating model size as the only path forward. |
02Measure everythingModels should be accompanied by reproducible evaluation and clearly documented limitations. |
03Make models usableResearch matters more when developers can actually run, inspect and build on it. |
Ecosystem
ModelsPretrained and instruction-tuned SOVYN models. |
DatasetsTraining and evaluation datasets. |
BenchmarksTransparent model capability tracking. |
SpacesInteractive model demos and experiments. |
SOVYN
Models built for real work.
Open models · Independent research · Efficient intelligence
SOVYN Research