Mirrored from perplexity-ai/pplx-decider-v1-27b
All models by perplexity-ai →pplx-decider-v1-27b is a decision model fine-tuned from Qwen3.8-27B.
Accuracy across 11 benchmarks. The pplx-decider-v1-27b results were measured through the Perplexity API.
Bold marks the best score in each row.
Python 3.12+ and a CUDA GPU with room for approximately 49 GiB of weights plus working memory.
Download and run the inference example [blocked] with uv:
uv installs the dependencies; the script downloads the model from Hugging Face. In an environment with these dependencies installed, use Decider directly:
Use {"type": "noul", "instructions": "Does this message express urgency?"} for a yes/no probability. For images, pass images=["screenshot.png"] to predict, or run:
uvx --from huggingface-hub hf download perplexity-ai/pplx-decider-v1-27b inference.py --local-dir .uv run inference.pyfrom inference import Decider
model = Decider.from_pretrained("perplexity-ai/pplx-decider-v1-27b")result = model.predict( "My Stripe integration keeps failing. Please help ASAP.", { "type": "choice", "instructions": "Which team should handle this request?", "criteria": { "billing": "Charges and refunds", "technical_support": "Integration errors", "sales": "Questions about buying a product", }, },)print(result) # Selected choice and calibrated probabilities.uv run inference.py --image screenshot.png