MODEL PROFILE

pplx-decider-v1.1-27b

perplexity-ai · pplx-decider-v1.1-27b

pplx-decider-v1.1-27b is an update of our pplx-decider-v1-27b model, that boost the Decision Index score from 56.4 to 61.56, now outperforming Jev by more than 3.5 points, while using the same backbone. Most of the gains are driven by the lifting of the causal mask and training on more data, including data from tasksource. This is the **native decision-checkpoint layout**: a `Qwen3_5Model` backbone plus `readout.safetensors` containing a BF16 `[255, 5120]` decision head. The Transformers class name does not change the base model identity, Qwen3.8-27B. Use Python 3.12+, authenticated Hugging Face access to this private repository, and a CUDA GPU with room for roughly 49 GiB of weights plus working memory. Download the repository and install its pinned `requirements.txt` dependencies.

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Profile updated2026/10/30 21:56:19
OVERVIEW

Model overview

pplx-decider-v1.1-27b is an update of our pplx-decider-v1-27b model, that boost the Decision Index score from 56.4 to 61.56, now outperforming Jev by more than 3.5 points, while using the same backbone. Most of the gains are driven by the lifting of the causal mask and training on more data, including data from tasksource. This is the **native decision-checkpoint layout**: a `Qwen3_5Model` backbone plus `readout.safetensors` containing a BF16 `[255, 5120]` decision head. The Transformers class name does not change the base model identity, Qwen3.8-27B. Use Python 3.12+, authenticated Hugging Face access to this private repository, and a CUDA GPU with room for roughly 49 GiB of weights plus working memory. Download the repository and install its pinned `requirements.txt` dependencies.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。