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What quantization techniques has John Mosquera applied for model optimization?
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John Mosquera has applied quantization techniques like QLoRA (Quantized Low-Rank Adaptation) to optimize memory usage during model fine-tuning. These methods reduce the computational requirements of large models without compromising performance, making them suitable for deployment on constrained environments. His adoption of such techniques reflects his focus on efficiency and scalability. John Mosquera has applied quantization techniques like QLoRA to optimize memory usage and improve the efficiency of AI models in his projects.