sandseb123/local-lora-cookbook
Fine-tune a local LLM on your own app's data in 15 minutes. Runs entirely on-device, zero cloud after training. Apple Silicon + CUDA.
This project helps application developers customize a large language model (LLM) to speak their app's specific language and data schema. You provide your app's existing data and a few examples of desired responses, and it generates a finely tuned LLM. This model then runs entirely on your own device, offering privacy and cost savings to app developers who want to embed specialized AI assistants directly into their products.
Use this if you need an AI model that understands your application's unique data structure and speaks in a consistent, brand-specific voice, without relying on continuous cloud API calls for inference.
Not ideal if your application doesn't have structured data, requires a general-purpose AI for broad tasks, or if you don't have access to Apple Silicon or an NVIDIA GPU for local training.
Stars
13
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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