Overview

kykim0/llama3-8b-ultrachat-sft is an 8 billion parameter language model derived from meta-llama/Meta-Llama-3-8B. This model has undergone supervised fine-tuning (SFT) using the HuggingFaceH4/ultrachat_200k dataset, which is designed to improve its performance in conversational and instruction-following scenarios.

Key Capabilities

• Enhanced Chat Performance: Fine-tuned on a large-scale ultrachat dataset, making it suitable for dialogue systems and interactive applications.
• Llama 3 Base: Benefits from the robust architecture and pre-training of the Meta-Llama-3-8B model.

Training Details

The model was trained with a learning rate of 2e-05 over 2 epochs, utilizing a total batch size of 128 across 8 GPUs. It achieved a final validation loss of 1.0405, indicating effective adaptation to the ultrachat dataset.

Good for

• Developing chatbots and conversational AI agents.
• Instruction-following tasks where clear and coherent responses are crucial.
• Applications requiring a compact yet capable language model for interactive use cases.