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I will fine tune your open source llm using lora qlora and hugging face
Mathematics Computing Undergraduate
I am a Mathematics and Computing undergraduate with hands-on experience in full-stack web development, data science, and AI/ML. I specialize in building responsive applications using React and Firebas...
About this Gig
I will help you fine-tune and evaluate compatible open-source language models using Python, PyTorch, Hugging Face Transformers, PEFT, LoRA and QLoRA.
My service can include dataset cleaning and formatting, instruction-data preparation, model fine-tuning, training configuration, evaluation, base vs fine-tuned model comparison, inference scripts and basic deployment support.
I focus on practical and measurable results rather than unrealistic accuracy guarantees. Before starting larger projects, I will first check the model size, dataset quality, hardware requirements and expected deliverables.
I can work with compatible open-source model families such as Llama, DeepSeek, Qwen, Mistral, BERT and RoBERTa depending on your use case.
Please contact me before ordering if your project involves a large model, large dataset or custom deployment requirements.
Programming Language:
Python
•
Javascript
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C++
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Pytorch
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TypeScript
Data Type:
Text
•
Images
•
Multimodal
AI Engine:
GPT
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Gemini
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DeepSeek
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Bert
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RoBERTa
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Llama
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MPT
•
Falcon
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PyTorch
FAQ
Can you fine-tune any LLM?
I can fine-tune compatible open-source models depending on the model architecture, license, dataset size, hardware requirements, and project goals. Please message me before ordering if you are unsure which model to use.
Can i guarantee a specific accuracy?
No. Results depend heavily on the quality and quantity of the dataset, the model and the task. I provide measurable evaluation rather than unrealistic guarantees.
What fine-tuning methods do you use?
I mainly work with parameter-efficient fine-tuning methods such as LoRA and QLoRA using Python, PyTorch, Hugging Face Transformers, and PEFT.
Can you prepare my dataset for fine-tuning?
Yes. I can help clean, structure, format, and split your dataset into suitable training and validation formats such as JSON or JSONL.
Which models can you work with?
I can work with compatible models such as Llama, Mistral, Qwen, DeepSeek, BERT, and RoBERTa, depending on your use case and available resources.
Can you deploy the fine-tuned model?
Basic deployment or demo integration can be included in the Premium package. More complex production deployment requirements should be discussed before ordering.
Can you evaluate the fine-tuned model?
Yes. Standard and Premium packages can include model evaluation and a comparison between the original model and the fine-tuned version.
What do you need from me before starting?
Please provide your use case, preferred model if you have one, dataset or dataset description, expected output format, and any deployment or evaluation requirements.
Should I contact you before placing an order?
Yes, especially for large datasets, larger models, custom training requirements, or deployment work. This helps confirm feasibility, compute requirements, and the correct package before the project begins.
