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Add DoRA (Weight-Decomposed Low-Rank Adaptation) to the Other Planned Integrations section. DoRA improves upon LoRA by decomposing weights into magnitude and direction components, offering better performance especially at lower ranks with no inference overhead. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
Why DoRA?
DoRA offers several advantages over LoRA for parameter-efficient fine-tuning:
References
🤖 Generated with Claude Code