Fine-Tuning NLLB for Twi on 6GB VRAM — What Happened When Scaling Plateaued and Human Alignment…
A researcher details their experience fine-tuning the NLLB model for the Twi language on a modest 6GB VRAM setup. The process involved overcoming challenges related to scaling limitations and ensuring human alignment. The resulting model is presented as a work in progress rather than a final, perfect solution. AI
IMPACT Demonstrates feasibility of fine-tuning large language models on consumer-grade hardware for specific linguistic tasks.