It seems likely that this "IndexError: index 2 is out of bounds for dimension 0 with size 2" is caused by a mismatch between the number of <image> tokens in your prompt and the number of images actually provided in the data sample. Qwen3 VL expects the number of image tokens in the text to exactly match the number of image features passed, otherwise this kind of index error occurs during batching and processing—especially when some conversations have images and others do not, or when the image tokens are not inserted correctly in the prompt text according to the model's requirements.
This issue has been reported by others, and the recommended solution is to ensure that for every sample, the number of <image> tokens in the prompt matches the number of images in the corresponding "content" list. Also, make sure your dataset is consistently formatted and that the processor receives the correct number of images per sample. For more details and a discussion of this error, see the relevant issue and solution in the Unsloth repository: Unsloth Issue #3463.
Would you like a step-by-step guide on how to check and fix your dataset formatting for Qwen3 VL?
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