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I will fine tune your llm with lora qlora on custom data
Abdullah
About this gig
Need to fine tune an LLM on your custom data?
I will fine tune your AI model using LoRA, QLoRA, PEFT, and SFT to create a customized LLM for your specific business, domain, or application.
I work with popular open-source LLMs including Llama, Mistral, Qwen, Gemma, Phi, and other Hugging Face models.
What I offer:
- LLM fine tuning & AI model training
- LoRA / QLoRA fine tuning
- Custom dataset preparation and formatting
- Instruction tuning & supervised fine tuning (SFT)
- Domain-specific LLM customization
- Model evaluation and testing
- Fine-tuned model or LoRA adapter
- Training configuration and inference setup
Your fine-tuned AI model can be optimized for customer support, specialized knowledge, structured outputs, classification, instruction following, professional writing, and other domain-specific tasks.
I can also help determine whether fine tuning or RAG is the right solution for your project.
Send me your model name, dataset, and requirements before ordering. I will review your project and recommend the appropriate fine-tuning approach.
Get to know Abdullah
Abdullah
AI Engineer LLM Fine Tuning, RAG and Custom AI Chatbots
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, Punjabi, Spanish, German, French, Italian
I’m an AI Engineer specializing in LLM solutions that solve real business problems. I provide AI model fine-tuning for more accurate, task-specific results, RAG systems that securely connect AI to private knowledge, intelligent chatbots that automate customer interactions, and custom LLM applications built around your workflow. I focus on reliable, scalable solutions that improve efficiency, reduce manual work, and deliver better AI experiences.
My Portfolio
FAQ
Which models can you fine-tune?
I can work with compatible open-source LLMs such as Llama, Mistral, Qwen and other Transformer-based models, depending on the project requirements.
Can you prepare my dataset?
Yes. I can help clean, structure, format, and prepare your dataset for fine-tuning.
Do you support LoRA and QLoRA?
Yes. LoRA and QLoRA can be used to reduce training resource requirements while adapting compatible models efficiently.
Can you fine-tune a 3B, 7B or larger model?
Yes, depending on the model architecture, dataset, training method, and available GPU resources.
Will fine-tuning give my model new knowledge?
Fine-tuning primarily teaches the model patterns, behaviors, formats, and task-specific responses. If your goal is to let the model reliably access a changing private knowledge base, RAG may be more appropriate.
Can you deploy the trained model?
Deployment can be included depending on the selected package and the model's infrastructure requirements.
