Quyet-1.0-Large
Quyet-1.0-Large is available now for agents, classification, and json / tool use with open-source; evaluate it while provider pricing coverage matures.
- Family
- Quyet
- Released
- 2026-10-03
- Context
- 8k
- Parameters
- 31.3B
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
Quyet-1.0-Large is the largest model in Chinh Nguyen's Quyet 1.0 family. It is a calibrated decision model built on Gemma-4-31B-it with a merged rank-16 LoRA fine-tune. Given a state (text, JSON, or a conversation) and one or more typed questions (choice, score, or true/false 'noul'), it picks one option per question and returns calibrated probabilities. It answers by reading next-token probabilities of option letters after a fixed prompt in one forward pass, with nothing generated. Per-type temperatures ship in quyet_config.json.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Agents
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(1)
Migration checks
No linked migration route is available for this model yet.
API versions
chinhnc/Quyet-1.0-LargeQuyet-1.0-Largequyet-1-0-largequyet 1.0.0No tracked provider token pricing is available yet.