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Is this model fine-tuned on the Qwen2.5 model or the Qwen2.5-instruct model?
How much does the Qwen2.5-VL model's performance on text-based benchmarks degrade compared to the Qwen2.5-instruct model, which was trained solely on text? I am asking this question with the expectation that performance may decline due to training on vision-related data.
Is this model fine-tuned on the Qwen2.5 model or the Qwen2.5-instruct model?
How much does the Qwen2.5-VL model's performance on text-based benchmarks degrade compared to the Qwen2.5-instruct model, which was trained solely on text? I am asking this question with the expectation that performance may decline due to training on vision-related data.