I will fine tune your llm with qlora on a single consumer GPU

I'm an M.Tech (AI/ML) student and published researcher (Springer LNNS) who builds real, production-style AI systems, not just tutorials. I've fine-tuned open-weight LLMs with QLoRA on consumer hardware (a single 6GB VRAM laptop GPU), built adaptive RAG pipelines with FAISS and LangChain, and shipped FastAPI/Docker-based AI applications.

What you get: a genuinely fine-tuned model on your own dataset, not a generic wrapper around a base model. I'll walk you through what the model learned, what it didn't, and where its limits are.

Good fit for: startups wanting a domain-specific chatbot without sending data to an external API, researchers wanting a reproducible fine-tuning pipeline, or anyone whose base model isn't specialized enough for their use case.

Message me before ordering with your dataset size and use case so I can confirm the right package.