Model Overview

Lixing-Li/Abyme-Llama-3.1-8B-SFT is an 8 billion parameter instruction-tuned language model developed by Lixing-Li. It is based on the Llama 3.1 architecture and was fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit.

Key Characteristics

• Architecture: Llama 3.1
• Parameter Count: 8 billion
• Context Length: 32768 tokens
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training.

Use Cases

This model is suitable for a variety of general language understanding and generation tasks, benefiting from its instruction-tuned nature and efficient training. Its 32K context window makes it capable of handling longer inputs and generating more extensive responses.