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I will fine tune llms for your custom ai use case
Muhammad Abbas
About this gig
Need an AI model that actually understands YOUR specific domain, tone, or task not just generic responses? I fine-tune large language models (LLMs) and transformer-based models to fit your exact use case.
What I offer:
Fine-tuning open-source LLMs (Llama, Mistral, and others) on your custom dataset
Domain-specific model adaptation (customer support, legal, medical, technical, etc.)
Data preprocessing, cleaning, and formatting for training
Performance evaluation and reporting
Deployment-ready output you can integrate into your product
Who this is for:
Businesses that need AI matching their specific tone, data, or industry
Startups building a proprietary AI feature
Anyone whose generic ChatGPT/API results aren't accurate enough for their use case
My background: I have hands-on experience in machine learning, deep learning, feature engineering, and transformer architectures I understand the fine-tuning process end-to-end, not just how to run a script.
Message me before ordering with details about your dataset size and goal so I can recommend the right approach and package.
Get to know Muhammad Abbas
Muhammad Abbas
AI and ML Developer , RAG and LLM Apps with Flutter Integration
- FromPakistan
- Member sinceJul 2026
Languages
Pashto, Urdu, English
I'm an AI/ML and NLP developer specializing in practical, production-ready AI solutions.
What I do:
• Build RAG systems and document Q&A chatbots
• Fine-tune open-source LLMs and transformer models
• Design NLP pipelines
• Handle the full ML workflow: preprocessing, feature engineering, training, evaluation
• Integrate AI features into mobile apps using Flutter
Tools: Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI/Anthropic APIs, vector databases, Flutter/Dart
Clear communication, realistic timelines, and working solutions - not just code. Let's discuss your project.
My Portfolio
FAQ
What size dataset do I need for fine-tuning?
It depends on your task, but even a few hundred well-labeled examples can work for some use cases. Message me your dataset details and I'll advise what's realistic.
Which models do you fine-tune?
Primarily open-source models like Llama and Mistral, plus other Hugging Face-compatible transformer models. Let me know your use case and I'll recommend the best fit.
Do I need my own GPU/server?
Not necessarily — I can handle training using cloud resources. We can discuss cost implications based on your model size before starting.
Can you help me collect or prepare my dataset?
Yes, data cleaning and preprocessing is included from the Standard package onward.
