I will fine tune llm models like llama, mistral and gpt on your own data

When prompts are not enough, fine-tuning is how you get an AI model that writes, answers and reasons the way your business does, and runs privately on your own servers.

I fine-tune open models (Llama, Mistral, Qwen, Gemma) and OpenAI models on your data using LoRA and QLoRA, then measure honestly whether the new model beats the original.

Good reasons to fine-tune

- Your data is sensitive and cannot go to an external API

- You need a consistent tone, format or domain vocabulary

- You want a smaller, cheaper model that does one job very well

- You need the model to run on-device or offline

What you get: the cleaned training dataset, the fine-tuned model weights, an evaluation report comparing before and after, and code to run it. Premium includes a private API and chat interface on your server.

Our team has fine-tuned a keyboard prediction LLM for on-device use and built domain-specific LLMs for EdTech, government and security clients.

Send me a sample of your data and what the model should do. I will tell you if fine-tuning or RAG is the better fit before you order.