Tutorials on Consumer Gpu Fine Tuning

Learn about Consumer Gpu Fine Tuning from fellow newline community members!

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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 Cuts VRAM 90%, Fits 7B on Consumer GPUs

Fine-tuning LLMs stopped being a cloud-only problem the moment LoRA arrived. Full fine-tuning pays the memory cost of training every weight in the network. LoRA freezes the base model and trains only small adapter matrices. QLoRA keeps that same adapter idea, then compresses the frozen base with…
Thumbnail Image of Tutorial How to Fine-Tune LLMs: LoRA Cuts VRAM 90%, Fits 7B on Consumer GPUs
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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