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LoRA Loses 68% Quality on FP8—Fix Drops to 5%

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🦙Read original on Reddit r/LocalLLaMA

💡Slash LoRA's 68% FP8 quality loss to 5.2%—must-read fix!

⚡ 30-Second TL;DR

What Changed

FP8 E4M3 min value 0.0625 triggers LoRA gradient underflow

Why It Matters

Essential fix for low-precision fine-tuning on modern GPUs. Enables efficient FP8 training without quality hits, boosting hardware utilization.

What To Do Next

Implement koscak.ai FP8 LoRA scaling in your next H200 fine-tuning experiment.

Who should care:Researchers & Academics
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Original source: Reddit r/LocalLLaMA