Model Overview

The Josuef663/advanced_finetune_16bit is a 3.2 billion parameter Llama-based instruction-tuned model, developed by Josuef663. It was fine-tuned from the unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit base model.

Key Characteristics

• Architecture: Llama-based, instruction-tuned.
• Parameter Count: 3.2 billion parameters.
• Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training.
• Origin: Developed as a personal learning project to demonstrate local fine-tuning on an RTX3060 laptop with 6GB VRAM.

Intended Use Cases

This model is primarily a demonstration of efficient fine-tuning techniques on consumer hardware. It is suitable for:

• Educational Purposes: Learning about local LLM fine-tuning.
• Experimentation: Testing fine-tuning workflows with Unsloth and TRL.
• Resource-Constrained Environments: Exploring LLM capabilities on systems with limited VRAM.