October 11, 2026 / Daily Edition / 1 story in this issue
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Unsloth Adds Shared Fine-Tuning for Seven Text-Diffusion Families

A new trainer connects familiar datasets to distinct learning recipes for models that refine text instead of only predicting the next token. The gain is less custom integration—and a clearer view of the differences that still matter.

Training examples enter DiffusionTrainer and branch into masked-token, noisy-block and Gemma-canvas recipe groups, representing seven model families.
Diagram Punka shared training interface keeps the model families’ different learning recipes visible. Merged source does not establish a quality gain.
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Evidence: 2 linked commits / October 11, 2026 / Daily Edition
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