• ✨ Reduces training time significantly, e.g., from over 12 hours to under 2 hours.
• ✨ Decreases VRAM usage by 70-90% compared to standard methods.
• ✨ Maintains zero accuracy loss through exact computation and dynamic quantization.
• ✨ Seamlessly integrates with Hugging Face ecosystem using familiar Python APIs.