unsloth/Meta-Llama-3.1-8B

unsloth/Meta-Llama-3.1-8B is an 8 billion parameter language model based on Meta's Llama 3.1 architecture, optimized by Unsloth for efficient fine-tuning. It features a 32768 token context length and is specifically designed to enable significantly faster fine-tuning with reduced memory consumption compared to standard methods. This model is ideal for developers looking to quickly and cost-effectively adapt Llama 3.1 for various downstream tasks, particularly on resource-constrained hardware like Google Colab T4 GPUs.