Model
Primer 1.3B
Primer 1.3B is the research system proving Primer’s learning architecture: a compact experimental platform for studying whether intelligence can keep developing after deployment. It runs on private research infrastructure rather than as a public model release.
Primer 1.3B is a fixed research artifact. Results published on this site describe it, not the systems that follow it. Successor systems built on the same architecture are not publicly documented.
Primer 1.3B
Research system- Parameters
- 1.3B
- Focus
- Post-training learning
- Status
- Experimental
- Deployment
- Private research infrastructure
Primer 1.3B is the research system proving Primer’s learning architecture. It runs on private research infrastructure and is available to strategic partners rather than as a public model release. It is a fixed research artifact: successor systems are not publicly documented.
1.3B
parameters
Start small.
Understand learning.
Primer intentionally begins with a compact model.
The goal is not to win by brute-force scale.
The goal is to understand the mechanisms that let intelligence continue developing after training. If those mechanisms generalize, model scale becomes another variable rather than the entire strategy.
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