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Fiverr Pro
Nederlands
$
USD
I will fine tune llm on your data, gpt, llama
DATA SCIENTIST
Unlock the power of data with me! I'm a Machine Learning and Data Science expert, passionate about extracting insights from complex datasets. With a strong background in Python, I deliver accurate and...
Niveau 2
Voldoet aan hoge prestatiecriteria en heeft een bewezen staat van dienst in het voldoen aan de verwachtingen van de klant.
Zeer responsief
Geeft doorgaans uitzonderlijk snel antwoord
Over deze dienst
Why choose me
- 160+ completed Fiverr orders + 5 years on Fiverr
- Strong expertise in Machine Learning, Data Science, NLP, Computer Vision, Generative AI, Deep Learning, and RAG Based Systems
- Hands-on with Time Series Forecasting, AI Agents, and Chatbot Development
I provide AI model fine tuning / LLM fine tuning to match your data, style, and output format. I fine tune and align models and deliver a reproducible training + inference package.
Fine tuning stack (not limited to):
- LangChain (integration-ready workflows)
- Unsloth + Unsloth Docker image
- LoRA / QLoRA
- Lamini
- LlamaFactory (LLaMA-Factory)
- Stable Diffusion fine-tuning (LoRA/DreamBooth-style workflows)
- Run & fine-tune DeepSeek-R1-0528
- Train your own Reasoning Model
- Train and Run Mistral 3
Alignment methods
- SFT, DPO, GRPO, PPO (RLHF)
- Quant Aware Training (QAT)
Deliverables (depending on package):
- Dataset formatting/prep
- Training code/notebook + configs
- Fine-tuned adapters/model checkpoints
- Evaluation summary + inference script
- API + Production Setup Guide
If you want reliable outputs, not just a model that runs, message me your objective and sample data, and I'll handle training, evaluation, and a clean handover.
Mijn portfolio
Veelgestelde vragen
I don’t have the hardware to run a large model. What can we do?
No problem. In the Enterprise package, I can deploy your model as an API (FastAPI) on a GPU hosting provider or cloud instance. You’ll get a working endpoint + setup guide. Hosting/GPU costs are paid by you directly to the provider (so you keep ownership and billing control).
Fine-tuning vs RAG - which one should I choose?
Fine-tuning improves behavior (format, tone, reasoning style). RAG improves knowledge accuracy from documents and stays up to date. Many projects work best as hybrid (RAG + light fine-tuning).
How do you measure improvement?
I run a baseline vs fine-tuned comparison using your test examples (and/or custom checks like format accuracy, refusal behavior, and response consistency) and share a short evaluation summary.
Will you use my API keys / cloud account?
If hosting or OpenAI training is needed, you provide keys/access via Fiverr requirements.
