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# an update of pplx-decider-v1-27b that boosts its Decision Index score from 56.4 to 61.56

**[ml-research](https://daily.dev/sources/mlresearch)** · [@ai1over](https://daily.dev/ai1over) · 1 upvotes · 0 comments

## Summary

pplx-decider-v1.1-27b is an updated decision-classification model from Perplexity AI, improving its Decision Index score from 56.4 to 61.56, now surpassing the Jev benchmark by 3.5+ points using the same Qwen3.8-27B backbone. Gains come from removing the causal attention mask and training on more data, including tasksource and Bespoke Nimble-derived datasets. The model card details its checkpoint format (a separate readout head rather than full vocabulary), noncausal attention requirements for correct inference, calibration temperature handling, image input processing with configurable resolution caps, and usage instructions requiring Python 3.12+, CUDA GPU with ~49 GiB memory, and the included inference code.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/perplexity-ai/pplx-decider-v1.1-27b>

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Tags: [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm), [#multimodal](https://daily.dev/tags/multimodal), [#huggingface](https://daily.dev/tags/huggingface)

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