Finetune Llama 4 Faster
summary
Unsloth AI shows a workflow that loads and quantizes Llama 3 and 4 on Google Colab and Kaggle, integrates with Ollama, Llama.cpp, OpenWebUI and VLM, and applies Dynamic Quantization that keeps attention and key layers at 4–6 bits. Measured results claim Llama 4 Maverick reaches ~40 tokens/s on two H100s, is cost‑effective per token, and enables 1.5x faster fine-tuning, 50% less VRAM and 8x longer context than flash‑attention setups.
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