Investigation 01 / AI inference

Ongoing research

Gearshift.

Can inference move between models?

An investigation into heterogeneous inference, including the possibility of handing off a KV cache from one model to another.

Gearshift / research questionConceptual
FIG. 01 A conceptual view of the question, not a demonstrated transfer. Compatibility, quality, and the cost of handoff remain subjects of investigation.

The question

What would it take to continue somewhere else?

Gearshift asks whether an inference process could begin with one model and continue with another. The investigation includes KV-cache handoff: whether the state accumulated during inference can be made useful across model boundaries.

The work is ongoing. We’re examining the conditions that a handoff would need to satisfy, how to evaluate it, and what would make it useful. This overview makes no claim of a successful transfer.

Lines of inquiry

01 / Compatibility

What can carry over?

What constraints would a different model place on the state it receives?

02 / Evaluation

How would we know?

How should continuity and output quality be tested against a clear baseline?

03 / Usefulness

When would it help?

What costs and tradeoffs would determine whether a handoff is worth making?

From the investigation

Reports & resources

No reports or public repository links yet. Approved publications and resources will be collected here as the work develops.