Elfsong/Llama-3.1-8B-Instruct-sft

Elfsong/Llama-3.1-8B-Instruct-sft is an 8 billion parameter instruction-tuned causal language model, fine-tuned by Elfsong based on Meta's Llama-3.1-8B-Instruct. This model leverages a 32768-token context length and is specialized through supervised fine-tuning on diverse datasets including alpaca_en, qg_sft, wikiqa, webqa, and openo1_sft. It is designed for general instruction-following tasks, benefiting from its Llama-3.1 architecture and targeted fine-tuning.