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Finetuned TinyLlama YouTube Comment Reply

Role: AI & Data Science Engineer

Project Description

A LoRA fine tuned TinyLlama-1.1B-Chat model designed to generate concise, friendly, and domain specific replies to AI/ML related YouTube comments. This project demonstrates a full fine tuning pipeline, including dataset preparation, training with LoRA and quantization, evaluation with BLEU/ROUGE metrics, and inference via a Hugging Face-hosted adapter.

Key Features

  • ⚙️ End-to-End Fine-Tuning Pipeline
  • 📂 Custom Dataset — AI/ML YouTube comments paired with human-like replies
  • ☁️ Reusable Model — Pre-trained adapter hosted on Hugging Face
  • 🎛️ Flexible Inference — Configurable prompt, temperature & token length
  • 🚀 Deployment Ready — Easily integratable into apps or chatbots

Technologies Used

  • Python
  • Transformers
  • LoRA/PEFT
  • Hugging Face
  • Git
  • Github