Quyet-1.0-Tiny
Quyet-1.0-Tiny by chinhnc is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text.
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- chinhnc
- Parameters
- 183M
- Released
- Oct 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Encoder classifier
- Backbone
- jhu-clsp/mmBERT-small
- Jev-compatible request
- Yes
- Runs on CPU
- Yes
- License
- apache-2.0
- Hugging Face
- chinhnc/Quyet-1.0-Tiny
Benchmarks
Compare Quyet-1.0-Tiny with…
FAQ
How much does Quyet-1.0-Tiny cost?
Quyet-1.0-Tiny 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-Tiny answer?
Quyet-1.0-Tiny answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is Quyet-1.0-Tiny well calibrated?
No calibration measurement for Quyet-1.0-Tiny is recorded yet.
Is Quyet-1.0-Tiny open weight, and can it run on a CPU?
Yes, Quyet-1.0-Tiny has open weights. It is small enough to run on a CPU.
Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Benchmark Heaven JevBench, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.