[D] Fine-Tuning Mixtral 8x7B with QLoRA: Enhancing Model Performance 🚀

The quest for optimized and high-performing language models continues to push the boundaries of natural language understanding. One such endeavor involves the fine-tuning of the Mixtral-8x7B Mixture of Experts (MoE) model, a powerhouse that has demonstrated superior performance compared to its counterparts, notably outperforming the Llama 2 70B on various benchmarks.

This tutorial embarks on the journey of fine-tuning the Mixtral-8x7B model using an innovative method known as QLoRA, which combines quantization and LoRA (Local Representation Adaptation). The amalgamation of …

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