I will fine tune llms with lora and qlora

I will fine-tune an LLM on your custom dataset using LoRA or QLoRA with Hugging Face and Python.

If you need a model adapted for your domain, classification task, chatbot responses, summarization, question answering, sentiment analysis, or another NLP use case, I can prepare the data, fine-tune the model, evaluate the results, and provide clean implementation code.

What I can provide:

• Dataset review, cleaning and formatting
• LoRA or QLoRA fine-tuning
• Hugging Face Transformers and Python
• Hyperparameter configuration
• Training and evaluation
• Accuracy, precision, recall, F1 and loss metrics where applicable
• Adapter/model files
• Inference code or Jupyter Notebook
• Documentation and setup instructions
• API deployment in supported packages

I can work with supported open models including Llama, DeepSeek, BERT, RoBERTa and other Hugging Face models.

Please contact me before ordering so I can review the model, dataset size, task and compute requirements.

Model performance depends on the dataset and task, so a specific accuracy cannot be guaranteed. GPU, hosting, API and third-party costs are not included unless agreed in advance.