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WangSenQWQ
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Model Details
Model Provider
WangSenQWQ
Model Tree
Qwen/Qwen3.5-4B
Input Modalities
Output Modalities
Supported Functionality
Senova-4B-v2 uses a revised training mixture of approximately 1.8 million high-quality examples with option-set soft labels and adds Read Twice inference. The base model is Qwen/Qwen3.5-4B. Model weights are licensed under Apache-2.0; see LICENSE and NOTICE. Dataset rights are not granted by the model license.
Public Decision Index 0.3 index: 67.27, complete=true; 140,178/140,178 scoreable requests successful.
Use the accompanying inference server, not generic chat generation. It fixes Read Twice on and thinking off, repeats the complete rendered user input twice inside one user message, and uses a single next-token distribution per question. It returns typed choice/noul answers through POST /v1/systemone.
The weights have been modified by soft-label training and are not an unmodified Qwen release. The training source inventory includes test-derived sources; this score is a public benchmark result, not a claim of held-out, contamination-free performance. The private Full score is determined by the leaderboard maintainers.