This article discusses a common issue encountered when exporting large language models in the GGUF format, specifically when the available disk space is insufficient for the export process. The author highlights that training and saving a LoRA adapter may complete successfully, but the subsequent GGUF export often fails due to disk limitations, even if the training itself appeared to finish without errors. AI
IMPACT Highlights a practical limitation in model deployment workflows, impacting users working with large models and limited storage.
RANK_REASON The item is a technical explanation of a common problem encountered by users of a specific model format.
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