I will fine tune llm models with lora and peft

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Aikaksh Routela
fine tune llm models with lora and peft
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About this gig

Are you looking to fine-tune a Large Language Model (LLM) on your custom dataset for a specific business need?


I specialize in parameter-efficient fine-tuning (PEFT) using LoRA and QLoRA, allowing you to customize powerful open-source models like Llama, Mistral, and TinyLlama without needing expensive enterprise hardware.


What I offer:

  • Fine-tuning on your custom dataset (text, Q&A, domain-specific data)
  • Techniques: LoRA, PEFT, 4-bit quantization
  • Models: Llama 3, Mistral 7B, TinyLlama, and more
  • Full evaluation with loss curves and accuracy metrics
  • Delivery of the trained model + inference code


Why choose me?

  • I have hands-on experience fine-tuning TinyLlama on security data using LoRA and PEFT
  • I build full-stack AI applications with Python, FastAPI, and Hugging Face
  • I focus on clean code, clear communication, and on-time delivery


My tech stack: Python, PyTorch, Hugging Face Transformers, PEFT, BitsAndBytes, LangChain.

Whether you need a chatbot for internal documents, a domain-specific assistant, or a custom AI model for your startup, I can help. Let's discuss your project!

  • AI engine

    • Mistral AI
    • Meta Llama
    • Hugging Face

  • Tools & frameworks

    • LangChain

  • AI solution type

    • AI chatbot
    • Rag system
    • AI assistant

  • Purpose

    • Customer support
    • Knowledge management
    • Research
    • Document processing

Get to know Aikaksh Routela

Aikaksh Routela

AI ML Engineer and RAG Specialist

  • FromIndia
  • Member sinceSep 2026

  • Languages

    English, Hindi, Bengali
AI/ML Engineer specializing in production-ready RAG systems, LLM agents, and generative AI. Built and deployed 5+ live AI systems: • PDF RAG Chatbot (ChromaDB + Groq) • AI Assistant (LangChain agent) • RAG Customer Support API (FAISS, 79.9% accuracy) • AI Art Generator (Next.js, SDXL, Flux) Tech stack: Python, LangChain, FastAPI, ChromaDB, FAISS, Groq, Docker, React. What I offer: ✅ Custom RAG pipelines for your documents ✅ LLM-powered AI agents with tool-calling ✅ FastAPI backends and API integrations ✅ Deployment with Docker and CI/CD

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