LoRA vs QLoRA vs Fine-Tuning = LLM Model Fine Tuning Techniques

LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) are techniques used to fine-tune large language models (LLMs) efficiently by reducing memory and computational requirements.

1. LoRA (Low-Rank Adaptation)

• Concept: Instead of updating all parameters of a pre-trained LLM, LoRA adds small, trainable low-rank matrices to selected layers (like attention layers).
• Benefits: Reduces memory usage since it avoids modifying the entire model. Makes fine-tuning faster and cheaper. Maintains the original model parameters, enabling easy switching between different fine-tuned adapters.

2. QLoRA (Quantized LoRA)

• Concept: QLoRA builds on LoRA but quantizes the base model to 4-bit precision, reducing memory footprint even further while still allowing LoRA-based fine-tuning.
• Benefits: Lower VRAM usage: A 65B model can fit in a single GPU with QLoRA. Maintains model accuracy despite quantization. Efficient for training on consumer GPUs (e.g., RTX 3090/4090 instead of A100s).

When to Use What?

• Use LoRA if you have more GPU resources and want efficient fine-tuning while keeping the model in full precision.
• Use QLoRA if you have limited GPU resources and want to fine-tune large models with minimal memory usage.

When to Use Each Approach?

• Full Fine-Tuning: If you need to deeply adapt an LLM to your domain (e.g., biotech research, medical models) and have high compute resources.
• LoRA: If you want a balance between efficiency and accuracy, keeping the base model intact while training small, specialized adapters.
• QLoRA: If you're working with large models on limited GPUs, such as enterprise search with LLMs, real-time indexing, or chatbots.

#LLM #LLMs #RAG #DeepSeek #DeepSeekR1 #DeepSeekAI #DataScience #DataProtection #dataengineering #data #Cloud #AWS #azuretime #Azure #AIAgent #MachineLearning #DeepLearning #langchain #AutoGen #PEOPLE #fyp #trending #viral #fashion #food #travel #GenerativeAI #ArtificialIntelligence #AI #AIResearch #AIEthics #AIInnovation #GPT4 #BardAI #Llama2 #AIArt #AIGeneratedContent #AIWriting #AIChatbot #AIAssistant #FutureOfAI #Gemini #Gemini_Art #ChatGPT #openaigpt #OpenAI #Microsoft #Apple #Meta #Netflix #Google #Alphabet #FlowCytometry #BioTechnology #biotech #Healthcare #Pharma #Pharmaceuticals #Accenture #Wipro #Cognizant #IBM #Infosys #Infy #HCL #techmahindra