jenkinsci/Enhancing-LLM-with-Jenkins-Knowledge
🚀 this project aims to develop an app using an existing open-source LLM with data collected for domain-specific Jenkins knowledge that can be fine-tuned locally and set up with a proper UI for the user to interact with.
Implements a full-stack architecture with a Flask backend serving Llama2 for Jenkins-specific queries and a Vite frontend for user interaction. Supports local fine-tuning via LoRA on Google Colab, model quantization to GGML format for CPU inference, and deployment of custom models to Hugging Face, reducing model size from 13GB to 6.7GB through Q8_0 quantization.
Stars
15
Forks
11
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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