TajikNLPWorld/

tajik-lora-qlora-benchmark

	Tajik LoRA/QLoRA Benchmark




	
	📊 Description

This benchmark contains the complete results of fine-tuning 15+ language models (from 124M to 7B parameters) on a subset of the Tajik language (1000 sentences from the TajikNLPWorld/tajik-web-corpus).The study compares full fine-tuning versus LoRA/QLoRA, evaluating model quality (perplexity), GPU memory usage, and training time.

GPT‑2 medium (full fine-tuning) achieves the lowest perplexity (3.48), but… See the full description on the dataset page: https://huggingface.co/datasets/TajikNLPWorld/tajik-lora-qlora-benchmark.