I will build a fine tuned ai agent trained on your company knowledge
About this Gig
What a fine-tuned model actually does for you
Fine-tuning teaches a model how to behave how to answer in your format, follow your rules, use your terminology, call your tools, and refuse when it doesn't have the evidence. It does not stuff facts into the model's head. Facts belong in retrieval, where you can update them without retraining. I build it this way deliberately, and it's why the models I deliver stay accurate instead of becoming confidently out of date.
What's included in every package
- Review of your source material and an honest assessment of whether fine-tuning is the right tool
- Dataset construction your documents converted into clean training examples
- QLoRA fine-tune on an open-weight base model (Qwen, Llama or Mistral family)
- A trained LoRA adapter, delivered as GGUF, ready to run with Ollama
- A short written summary of what was trained, on what, and how to run it
Scale by package
- Pilot up to 500 training examples, 78B base model. Built to prove the approach works on your data before you commit to a larger build.
- Custom Domain Model up to 2,000 examples, up to a 14B base model, packaged with an Ollama Modelfile.
- Production Specialist up to 6,000 examples, up to a 14B
Programming Language:
Python
Data Type:
Text
AI Engine:
Llama
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Other
My Portfolio
FAQ
What counts as a revision?
One additional training run with adjusted hyperparameters, corrected data, or a revised behaviour spec. Each retrain is several hours of GPU time, so revisions aren't open-ended tweaking. If the first result misses because the requirements changed, that's a new order or a custom offer — I'll always
What does "model deployment" include?
Your trained adapter converted to GGUF, an Ollama Modelfile, and written instructions to get it running on your own machine or server. It does not include setting up cloud infrastructure, hosted endpoints, or ongoing hosting. If you need those, message me first and I'll quote it as a custom offer.
How much data do I need?
More than most people expect for facts, less than most people expect for behaviour. A few hundred good examples can reliably teach tone, format and rules. Teaching a whole subject domain takes thousands. Message me with a description of your data before ordering and I'll tell you straight whether yo
Can you fine-tune ChatGPT / Claude?
Claude and Gemini can't be fine-tuned by third parties. OpenAI models can be fine-tuned through their API, but that's a different service and your data goes to OpenAI. This gig covers open-weight models — Qwen, Llama, Mistral — which run entirely on hardware you control.
Are these LLMs models cloud based?
No. Everything runs on open-weight models on hardware you control. If your data can't go to a third-party API, this is the approach that works.
What is not included?
Cloud infrastructure, hosted API endpoints, autoscaling or DevOps "deployment" here means the model packaged to run locally
Can you guarantee accuracy for the fine-tuned models?
No, I cannot guarantee accuracy figures. Anyone promising you a specific percentage before seeing your data is guessing.

