Investigation 01 / AI inference
Ongoing researchGearshift.
Can inference move between models?
An investigation into heterogeneous inference, including the possibility of handing off a KV cache from one model to another.
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
What can carry over?
What constraints would a different model place on the state it receives?
How would we know?
How should continuity and output quality be tested against a clear baseline?
When would it help?
What costs and tradeoffs would determine whether a handoff is worth making?
From the investigation
Reports & resourcesNo reports or public repository links yet. Approved publications and resources will be collected here as the work develops.
