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electroglyph • today at 12:57 AM • 1 reply • view on HN

semi-related: https://unsloth.ai/docs/get-started/reinforcement-learning-r...

i personally do finetuning in FP16 because then the LoRA merge at the end has less rounding error.

for most models it's lossless as well (when coming from a BF16 source), it's very quick to scan the weights and make sure they're all in range if you're concerned.


Replies

martincsweiss • today at 1:37 AM

Yea that's pretty related. In this case, I'm looking at full finetunes (although we don't end up actually finetuning the whole model, just the small weights!)