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Sieve 27B

Sthānika AIDecision modelOpen weights

Sieve 27B by Sthānika AI is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 60.2 on the Jev Decision Index (rank 7).

Pricing

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

Specifications

Provider
Sthānika AI
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
sthanika-ai/Sieve-27B

Benchmarks

Jev Decision IndexECE 0.065
60.2

Jev Decision Index: public 60.0, ECE 0.065, Brier 0.352. 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
60.0
Decision Index 0.3 public suite (140,178 scored requests; thSelf-reported
60.0
Decision Index 0.3.2 leaderboard (public suite and the maintSelf-reported
60.2

Speed & latency

Median latency per call (Decision Index)
101 ms

Compare Sieve 27B with…

FAQ

How much does Sieve 27B cost?

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

What questions can Sieve 27B answer?

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

Is Sieve 27B well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.065; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is Sieve 27B open weight, and can it run on a CPU?

Yes, Sieve 27B 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.