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.
Quick answers
What is K-Decision-9B by ONYULTEA?
K-Decision-9B: A Korean-specialised 9B decision model based on Qwen3.5-9B, trained with int8 LoRA at rank 32.
Who makes K-Decision-9B?
Are K-Decision-9B's weights open?
K-Decision-9B: Public model.safetensors weights and serving code Licence: Apache-2.0, declared for the model weights
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
- The card reports KMMLU accuracy 45.4%, against a 23.4% zero-shot base result. Its 8 November history calls this a label-conversion correction to an earlier approximately 30% figure, not a new weight release. vendor reportedsource
Links
Source: Weights, licence declaration and results → Source: Serving and evaluation code → Source: Weight file inventory →
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