A user on Reddit is encountering an issue with a LoRA-conditioned model, BrickNet, which is failing to generate the first line of output when provided with short captions. The model, fine-tuned on Qwen3, consistently outputs 'b' as the first token instead of the expected root line, breaking the output grammar. This problem appears to be related to the length of the conditioning caption, as longer captions result in correct output. The user has ruled out several potential causes, including tokenization mismatches and bugs in saving or decoding, and is seeking advice on understanding the root cause and potential solutions like constrained decoding or data augmentation. AI
IMPACT This issue highlights potential limitations in LoRA conditioning with short prompts, impacting model reliability for specific use cases.
RANK_REASON User-generated technical question about model behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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