OPEN
K-Decision-9B
K-Decision-9B is a Korean-specialised Qwen3.5-9B fine-tune with public weights. Its card declares Apache-2.0 and reports Korean benchmark results.
By ONYULTEA · First Hugging Face upload: 3 Nov 2026
A Korean-specialised 9B decision model based on Qwen3.5-9B, trained with int8 LoRA at rank 32. It reads a state and typed questions, then returns probabilities over the options in one forward pass. The first public release supports choice and yes/no questions through a Jev-compatible /v1/systemone server.
Facts
- Size
- 9B
- Base
- Qwen/Qwen3.5-9B
- Licence
- Apache-2.0, declared for the model weights
- Inputs
- Text; choice questions with 2 to 26 options and yes/no questions
- Language
- Korean-specialised; the model card also tags English
- Limits
- State up to 6,000 characters; unsupported requests return HTTP 422
- Access
- Public model.safetensors weights and serving code
Claims and sources
- ONYULTEA reports 0.866 accuracy on a five-task KoBEST conversion with 2,600 items, and 0.635 on 3,000 korean-jev-decision-index items. Its LocalLLaMA typed-decisions score of 0.818 is labelled fitted. vendor reportedsource
- On the public Decision Index 0.3 suite, ONYULTEA reports index 30.7, raw 44.8 and 168 ms p50 latency. It says training and serving used one 24 GB consumer GPU. vendor reportedsource
Links
Source: Weights, licence declaration and results → Source: Serving and evaluation code → Source: Weight file inventory →
Related projects
No related projects are listed in the registry.