I will fine tune llm model on your custom dataset using lora and qlora

Generic AI models give generic answers. Fine-tuning 

transforms them into specialists that understand your 

business, your terminology, and your exact requirements.

I fine-tune large language models on your custom dataset 

using LoRA and QLoRA. You get a model that performs the 

way you need it to, not the way a general assistant would.

What fine-tuning delivers:

30 to 40 percent accuracy improvement on your specific task

Responses that match your tone, format, and terminology

Reduced hallucinations on domain-specific queries

Lower inference cost compared to prompt engineering at scale

What I will do:

Dataset preparation, cleaning, and validation

Fine-tuning using LoRA, QLoRA, or full fine-tuning

Models: Llama 3, Mistral, Qwen, GPT-4, Claude, DeepSeek

Performance benchmarking before and after

Deployment to Hugging Face, Ollama, or your server

Detailed code comments and full documentation

Industries I cover:

E-commerce, healthcare, legal, SaaS, customer support

Message me before ordering. Every fine-tuning project is 

different. I will review your dataset and goals first and 

confirm the right approach before we begin.