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Qwen Decision 27B noncausal LoRA

jsaurabhDecision modelOpen weights

Qwen Decision 27B noncausal LoRA by jsaurabh is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 58.5 on the Jev Decision Index (rank 17).

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider
jsaurabh
Parameters
28B
Released
Oct 2026
Open weights
Yes
Question types
Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism
Decoder LM with a decision readout
Backbone
Qwen/Qwen3.8-27B
Jev-compatible request
No
Runs on CPU
No
License
apache-2.0
Hugging Face
jsaurabh/qwen-decision-27b-noncausal-lora

Benchmarks

Jev Decision IndexECE 0.051
58.5

Jev Decision Index: public 57.7, ECE 0.051, Brier 0.358. Lower ECE means its probabilities can be taken at face value.

Self-reported by the publisher

The model's own claims, often on its own sets or a self-run copy of a public suite. Not independently verified and never ranked alongside measured results.

Jev Decision Index public suite (self-run)Self-reportedDecision Index public balanced skill, edition 0.3 kit (release-v3), self-run
57.7

Speed & latency

Median latency per call (Decision Index)
127 ms

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FAQ

How much does Qwen Decision 27B noncausal LoRA cost?

Qwen Decision 27B noncausal LoRA has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can Qwen Decision 27B noncausal LoRA answer?

Qwen Decision 27B noncausal LoRA answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is Qwen Decision 27B noncausal LoRA well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.051; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is Qwen Decision 27B noncausal LoRA open weight, and can it run on a CPU?

Yes, Qwen Decision 27B noncausal LoRA has open weights. It needs a GPU to run at useful speed.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.