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Unsloth
unsloth.ai > docs > models > qwen3.8-next

Qwen3.8-Flash-Next: How to Run Locally | Unsloth Documentation

2+ week, 4+ day ago   (681+ words) Guide to run Qwen3.8-Flash-Next locally. 1-bit is 75GB and uses 4-bit for the Ngram / PLE. This is 79% smaller than BF16 (355GB), and retains a top-1% accuracy of 80%. Whether you run Qwen3.8-Flash-Next on a CPU with system RAM or on a GPU with VRAM…...

Unsloth
unsloth.ai > docs > basics > dynamic-3.0-ggufs

Unsloth Dynamic 3.0 GGUFs | Unsloth Documentation

3+ week, 4+ day ago   (1725+ words) Unsloth Dynamic v3.0 is the next iteration of our Dynamic quantization and a major improvement over Dynamic v2.0. Today, we’re releasing Qwen3.8-27B Dynamic v3.0 quants that deliver >10% top-1% better accuracy at the same size compared to every other provider. This is an update of…...