{"data":{"full_name":"shubham5027/LLM-Finetuning","name":"LLM-Finetuning","description":"This repository hands-on fine-tuning experiments on Large Language Models (LLMs) using parameter-efficient techniques such as LoRA and QLoRA, executed on limited GPU environments (Google Colab, Kaggle).","stars":2.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"lora-qlora-fine-tuning","last_pushed_at":"2026-01-08T21:34:07+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":2.0,"maturity_score":5.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-14T22:12:06.020583+00:00"}}