KingNish/Qwen2.5-0.5b-Test-ft

KingNish/Qwen2.5-0.5b-Test-ft is a compact 0.5 billion parameter language model fine-tuned from Qwen/Qwen2.5-0.5B-Instruct. Developed by KingNish, this model is designed to answer a variety of questions and has demonstrated performance comparable to larger models like Llama 3.2 1B, particularly in specific reasoning tasks. It was specifically trained on 12,800 rows of the Magpie 300k Dataset, making it suitable for general question-answering applications where a smaller footprint is desired.