I will finetune an llm for your specific use case

I fine-tune LLMs (LoRA/QLoRA) for a specific task, such as classification, extraction, style adaptation, or a narrow domain, using your data.

This is offered as a staged process. Phase 1, data and feasibility: I review your data and use case and tell you honestly whether fine-tuning is the right approach, or whether prompting or RAG would work better.

Phase 2, baseline: I evaluate the pre-trained model on your task first, so we have a clear before/after comparison.

Phase 3, fine-tuning pilot: I run a LoRA/QLoRA fine-tuning pass on your data and report the results against the baseline.

Phase 4, packaging: I package the fine-tuned model so it is ready to plug into your application.

I do not promise production-grade accuracy or guaranteed improvement before running the pilot. The baseline and pilot results are what tell us if this is worth taking further.

Message me with your data and use case before ordering, so we can confirm fine-tuning is the right fit for your problem.