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xiongyq
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xiongyq
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Supported Functionality
Use a compatible Transformers environment (the export was checked with Transformers 5.13.0).
python
from transformers import AutoProcessor, Qwen3VLForConditionalGeneration model_id = "xiongyq/SCOPED-8B"processor = AutoProcessor.from_pretrained(model_id)model = Qwen3VLForConditionalGeneration.from_pretrained( model_id, dtype="auto", device_map="auto")In the SCOPED repository, install the evaluation environment and run:
bash
MODEL=xiongyq/SCOPED-8B bash scripts/eval.sh allThis command downloads the evaluation dataset, runs online inference and writes predictions and scores. SCOPED benchmark evaluation uses temperature 0 and the per-benchmark settings in the code. The saved general-purpose generation defaults can be overridden at inference time.
Training data: SCOPED-Train. Evaluation data: SCOPED-Eval.