Finetuning Large Language Models (LLMs)
Starting at
$
100
About this service
Summary
FAQs
What kind of models can you fine-tune?
I can fine-tune various transformer-based models, including GPT-3, GPT-4, Llama, DistilBERT, and other Hugging Face models, based on your specific requirements.
What datasets do you need from me?
You can provide a structured dataset (e.g., CSV, JSON, or text files). If you don’t have one, I can assist in data collection and preprocessing.
What if I don’t have high-end hardware for training?
I can optimize training using techniques like quantization, distillation, and efficient training methods that work on limited computational resources.
Can you help deploy the fine-tuned model?
Yes, I can guide you through deploying the model using APIs, cloud platforms (AWS, GCP), or local inference setups.
How long does the fine-tuning process take?
The time depends on the model size, dataset complexity, and required optimizations. A standard fine-tuning job typically takes 5-10 days.
What's included
Codebase with Detailed Comments
A clean and well-structured repository (e.g., GitHub or GitLab) containing all scripts for data preprocessing, model fine-tuning, and evaluation. The code will include detailed comments explaining each step, from loading and cleaning data to fine tuning models like GPT, Llama, DeepSeek, BERT, and DistilBERT to your unique needs. It will also provide instructions on setting up the environment, running the code, and reproducing the results.
Example projects
Duration
1 week
Industries