By CASRAI Editorial Board
Publication Date: 2026-11-14 23:00:00
On November 13, 2026, Perplexity released open weights for pplx-decider-v1.3 and pplx-decider-flash-v1.3 under the Apache 2.0 license on Hugging Face, introducing specialized decision and text-classification models that depart from conventional generative token decoders. Built on fine-tuned Qwen architectures, the models evaluate complex text states against structured criteria to output calibrated probability distributions and verbatim text extractions for automated research workflows.
Architecture and Capabilities of Decider v1.3
Unlike standard causal language models that generate unconstrained sequences of autoregressive tokens, pplx-decider-v1.3 functions as a dedicated discriminator and decision engine. The primary v1.3 checkpoint is built upon the Qwen3.8-27B backbone (holding approximately 49 GiB of BF16 weights), while the smaller companion pplx-decider-flash-v1.3 is distilled from the 27B model into a Qwen3.5-4B base (requiring 8.5 GiB of BF16 memory). Both models modify the underlying transformer full-attention layers to operate bidirectionally across the combined input state and query, replacing the traditional generative token head with a specialized classification readout tensor that directly computes logits over candidate outcomes.
Perplexity’s v1.3 release formalizes four distinct decision schemas that research teams can query concurrently against a single document state:
- Choice: Evaluates an input against 1 to 255 discrete options, producing normalized…
