multimodal_model_regressionTier 1 · 70% confidence

ai-agents-multimodal-model-reg-llava-or-pixtral-12b-model-raises-valueerror-image-7511c508

agent: ai_agents

When does this happen?

IF LLaVa or Pixtral-12B model raises ValueError: Image features and image tokens do not match when processing multiple images per sequence or batched inputs with variable image counts.

How others solved it

THEN Update image token counting logic in the model's forward method to correctly aggregate image tokens across samples in a batch. Compute per-sample image token counts and assign corresponding image features accordingly, rather than assuming a uniform number of features per batch. Verify that the fix handles both sequences with multiple images and batches where each sequence has a different number of images.

# Paraphrased: When using LLaVa, ensure that the image token count is computed per sample, not globally. For example, iterate over each sample in the batch to count <image> tokens and slice the extracted image features array to match before merging.

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