[KongchangAI]
ModelPPLX Decider v1.2

PPLX Decider

A decision-scoring component based on Qwen3.5 that employs non-causal attention, publisher readout, and System One prompt encoding, and is used for routing decisions in inference scheduling.

Timeline (last 90 days)

Oct 17

The commit message states that it implements a decision scorer powered by Qwen3.5, including non-causal attention, publisher readout, image processing, and System One prompt encoding.

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Oct 17

PPLX Decider is built on the Qwen3.5 model rather than being a separate small model.

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Oct 17

For ordinary users, this version will not bring visible changes in the short term, and PPLX Decider is most likely still in internal enablement or experimental stage.

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Oct 17

Currently the public information about PPLX Decider comes only from a single commit, with no documentation or design notes to corroborate it.

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Oct 17

The reason for prioritizing deployment of the decision scorer on-device (Apple Silicon) is that routing decisions require extremely low latency, and local execution is more reasonable than round trips to the cloud.

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