A useful collection of notebooks for quantization, fine-tuning, and inference with the Turkish LLaVA model.
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Updated
Jul 6, 2025 - Jupyter Notebook
A useful collection of notebooks for quantization, fine-tuning, and inference with the Turkish LLaVA model.
BLIP-2 implementation for training vision-language models. Q-Former + frozen encoders + any LLM. Colab-ready notebooks with MoE variant.
A collection of practical examples and tutorials for fine-tuning large language models using Factory. Includes Docker images, Jupyter notebooks, and utility scripts for easy model training and deployment.
This repo contains the notebooks of my personal practice while doing the VLM bootcamp, offered by OpenCV University
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