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Quantization in Fine Tuning LLM With QLoRA
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Quantization in fine-tuning LLMs with QLoRA is crucial because it significantly reduces the computational and memory demands of large models, making them accessible on consumer-grade hardware. This allows for faster training and inference, enabling real-time applications and wider adoption in resource-constrained environments. Additionally, quantization lowers power consumption and operational costs, promoting more sustainable AI development. By optimizing model efficiency without sacrificing performance, QLoRA empowers more developers to fine-tune and deploy advanced models, democratizing AI technology and accelerating innovation across various domains.
0:00 LLM
3:40 Quantization
11:00 QLoRA
Relevant Papers:
0:00 LLM
3:40 Quantization
11:00 QLoRA
Relevant Papers:
0:32:55
Part 1-Road To Learn Finetuning LLM With Custom Data-Quantization,LoRA,QLoRA Indepth Intuition
0:14:45
Fine-Tune Large LLMs with QLoRA (Free Colab Tutorial)
0:36:58
QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
0:17:07
LoRA explained (and a bit about precision and quantization)
0:17:45
Quantization in Fine Tuning LLM With QLoRA
0:28:18
Fine-tuning Large Language Models (LLMs) | w/ Example Code
0:11:44
QLoRA paper explained (Efficient Finetuning of Quantized LLMs)
0:42:06
Understanding 4bit Quantization: QLoRA explained (w/ Colab)
0:07:41
Fine Tune Phi 3.5 with Your Data
2:37:05
Fine Tuning LLM Models – Generative AI Course
0:09:36
How to Improve your LLM? Find the Best & Cheapest Solution
0:04:38
LoRA - Low-rank Adaption of AI Large Language Models: LoRA and QLoRA Explained Simply
0:08:22
What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED
0:27:43
Quantize any LLM with GGUF and Llama.cpp
0:24:20
'okay, but I want Llama 3 for my specific use case' - Here's how
2:36:50
Generative AI Fine Tuning LLM Models Crash Course
0:30:48
QLoRA: Efficient Finetuning of Quantized LLMs | Tim Dettmers
0:08:55
Fine-Tuning with Quantization and LoRA
0:08:10
QLORA: Efficient Finetuning of Quantized LLMs | Paper summary
0:40:55
PEFT LoRA Explained in Detail - Fine-Tune your LLM on your local GPU
0:00:44
QLoRA - Efficient Finetuning of Quantized LLMs
0:22:44
Part 2-LoRA,QLoRA Indepth Mathematical Intuition- Finetuning LLM Models
0:26:21
How to Quantize an LLM with GGUF or AWQ
0:26:45
Steps By Step Tutorial To Fine Tune LLAMA 2 With Custom Dataset Using LoRA And QLoRA Techniques
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