Model
Primer 1.3B
Primer 1.3B is the first research release in the Primer model family: a compact model built to study one question — whether intelligence can keep acquiring knowledge after deployment.
Primer 1.3B
Research preview- Parameters
- 1.3B
- Focus
- Post-training learning
- Deployment
- Local + Cloud
- Status
- Experimental
- Availability
- Coming soon
Primer 1.3B is the first research release in the Primer model family. The research preview is intended for developers and researchers interested in adaptive AI systems.
1.3B
parameters
Start small.
Understand learning.
Primer intentionally begins with a compact model.
Our central research question is not simply whether adding more parameters produces more capability. It is whether an AI can develop mechanisms for acquiring knowledge after deployment.
Once those mechanisms are understood, scale becomes another experimental variable.
Positioning
A different axis of intelligence.
Primer is not currently designed to replace frontier language models. It investigates a complementary capability: what happens after training?
See the results