This path is for you if you want to change an open model's weights, not only write a better prompt. The tool is Unsloth, and the split is a prompt versus a weight update. No part is live on this page yet. Start with Meta Llama from scratch if you still need the map of the model, and come back here for the training path.
- 1 What Fine-Tuning Actually Does: Weights vs Prompts vs RAG Separate prompts, RAG, and weight fine-tuning. Fine-tune for style and schema discipline; retrieve for changing facts; stop paying a huge prompt tax at scale. Scheduled · January 30, 2027
- 2 Why Unsloth Changed Open-Source AI: 5x Speed, 80% VRAM Drop, and Custom Kernels Use Unsloth for faster, lower-VRAM open-model fine-tuning via fused Triton kernels and 4-bit loading. Expect large speedups without accuracy tricks. Scheduled · January 31, 2027
- 3 LoRA and QLoRA Demystified: Low-Rank Adapters, Rank Selection, and 4-Bit Precision Configure LoRA and QLoRA with sensible rank, alpha, and 4-bit NormalFloat bases. Smaller adapters often train faster and generalize better than oversized ranks. Scheduled · February 1, 2027