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tuantc
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Model Details
Model Provider
tuantc
Model Tree
Qwen/Qwen3.5-4B
Input Modalities
Output Modalities
Supported Functionality
Merge the adapter into the base weights at load and serve it with LOUPE_PROMPT_STYLE=compact, the
template it was trained with. Point LOUPE_CALIBRATION at this repository's calibration.json, which maps
the label probabilities to the reported distribution and names the model (loupe-1.1).
English only. It decides from what the document says and does not look anything up. Temporal arithmetic over long documents, ranked-rule tradeoffs and long policies remain its weakest families.
Apache-2.0, like the base model (Qwen/Qwen3.5-4B) and the serving code. The training data was written by DeepSeek V4.1 Flash, with targets from Qwen3.8-27B (Apache-2.0) and DeepSeek V4.1 Flash.