Tutorials on Qlora Quantization

Learn about Qlora Quantization from fellow newline community members!

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  • React
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  • JavaScript
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6 Fine-Tuning LLM Frameworks Ranked by Speed, Memory, and GPU Needs

Six training frameworks are covered here: Axolotl, DeepSpeed, Megatron-LM, PyTorch Lightning Fabric, Torchtune, and Unsloth. Available benchmarks don't line up across them. Speed comparisons come from reported throughput tests; memory figures reflect documented VRAM ranges for LoRA, QLoRA, and full…
Thumbnail Image of Tutorial 6 Fine-Tuning LLM Frameworks Ranked by Speed, Memory, and GPU Needs
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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How to Fine-Tune LLMs: LoRA vs Full Fine-Tuning Trade-offs

You can't pick how to fine-tune an LLM based on vague rules of thumb. The decision hinges on compute limits, task type, and how much accuracy you're willing to trade. Full fine-tuning updates every parameter in the model, giving you maximum task performance but requiring substantial GPU memory for…
Thumbnail Image of Tutorial How to Fine-Tune LLMs: LoRA vs Full Fine-Tuning Trade-offs
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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