🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP tasks. 🔧 It includes training 📚, fine-tuning 🛠️, and inference pipelines ⚙️. 🚀

Forensic documentation of deploying Google Gemma 4 27B-A4B-it (MoE) on Vertex AI with vLLM — 20 failure modes, dependency conflicts, and a community call-to-action for Multi-LoRA, quantization, vision & thinking support

Discrete-event simulation of multi-LoRA adapter serving strategies on a single GPU — comparing naive swap, hot-set preloading, and batch-by-adapter under variable VRAM pressure and arrival rates.

Production-oriented LLM serving examples covering KV-cache decoding, batching, quantization, LoRA, multi-LoRA, testing, benchmarking, and reproducible MLOps workflows.

[Transportation Research Part C / AAAI-DC 2026 / TSL 2026] Official Repository for The Paper, The Impacts of Data Privacy Regulations on Food-Delivery Platforms

Multi-Agent DAG Pipeline Architecture — Execution traces, model timeline, and deep architecture visualization