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Fine-Tuning Llama 3

Fine-Tuning Llama 3

An engineering-focused, multi-chapter technical series detailing large language model optimization. Includes comprehensive guides on 4-bit QLoRA setups, Unsloth kernels, multi-GPU orchestration via Axolotl, dataset token formatting, and production GGUF compilation for local serving infrastructure.

A technical diagram showing the architecture of fine-tuning a Llama 3.1 8B large language model on a single GPU using Unsloth and 4-bit QLoRA patching.

Fine-Tune Llama 3.1 8B on Single GPU with Unsloth and QLoRA

A step-by-step developer guide to fine-tuning Llama-3.1-8B under 10 GB VRAM using Unsloth. Learn to implement optimized QLoRA kernels, format Alpaca datasets into chat templates, monitor loss decay, and export weights to GGUF format for production serving with Ollama.