Quyet-1.0-Large
Quyet-1.0-Large by chinhnc is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 58.7 on the Jev Decision Index (rank 14).
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- chinhnc
- Parameters
- 33B
- 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
- google/gemma-4-31B-it
- Jev-compatible request
- Yes
- Runs on CPU
- No
- License
- apache-2.0
- Hugging Face
- chinhnc/Quyet-1.0-Large
Benchmarks
- Jev Decision IndexECE 0.078
- 58.7
Jev Decision Index: public 60.8, ECE 0.078, Brier 0.375. Lower ECE means its probabilities can be taken at face value.
Speed & latency
Compare Quyet-1.0-Large with…
FAQ
How much does Quyet-1.0-Large cost?
Quyet-1.0-Large has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can Quyet-1.0-Large answer?
Quyet-1.0-Large answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is Quyet-1.0-Large well calibrated?
On the Jev Decision Index its expected calibration error (ECE) is 0.078; below about 0.05, a stated 80% confidence is right roughly 80% of the time.
Is Quyet-1.0-Large open weight, and can it run on a CPU?
Yes, Quyet-1.0-Large 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, Benchmark Heaven JevBench, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.