Training a custom LoRA sounds simple in theory: Prepare a dataset Choose a base model Configure the...
Training a custom LoRA sounds simple in theory:
Prepare a dataset
Choose a base model
Configure the training parameters
Start training
Part 2 of a 4-part series. How LoRA works (the low-rank trick), a working PEFT config, and three real GPU walls I hit — the FP16…
From data preparation and tokenizer selection to pretraining, LoRA, RLHF, evaluation, and production...
Low-rank adaptation (LoRA) is a technique for fine-tuning models that has some advantages over previous methods:
Reverse-engineering the HiDream-O1-Image inference code to build a working LoRA trainer from scratch. One of the first public…
A Blog post by NVIDIA on Hugging Face
Part 3 of a 4-part series. QLoRA explained — quantize the frozen base to 4-bit, then LoRA on top. The BitsAndBytesConfig that…
