Fine-tune & Run Llama 3.2 with Unsloth

Unsloth has significantly improved the fine-tuning capabilities of Meta's Llama 3.2 models, offering enhancements in speed, memory usage, and context length support. The updated models, available in sizes ranging from 1B to 90B with 128K context lengths, are now 2x faster and consume up to 65% less VRAM compared to alternatives like Flash Attention 2 and Hugging Face. Unsloth's advancements allow Llama 3.2 models to handle longer context lengths with minimal VRAM overhead, making it possible to fine-tune substantial sequence lengths on GPUs with limited memory. Additionally, Unsloth supports vision model fine-tuning and has introduced pre-quantized 4-bit models for faster downloading. The platform's improvements are showcased in various benchmarks, demonstrating its clear advantage over existing solutions, particularly in long context fine-tuning scenarios.