Unsloth Dynamic 2.0 GGUFs introduces major upgrades to dynamic quantization for large language models. Key improvements include use of KL divergence for better quantization quality, analysis of calibration dataset overfitting risks, MMLU benchmark replication, Gemma 3 QAT replication with benchmarks, and bug fixes plus run
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hashtag 📊 Why KL Divergence?hashtag ⚖️ Calibration Dataset Overfittinghashtag 🔢 MMLU Replication Adventurehashtag ✨ Gemma 3 QAT Replication, Benchmarkshashtag 🦙 Llama 4 Bug Fixes + RunSort: