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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…...
Qwen3.8 Fine-tuning Guide | Unsloth Documentation
2+ week, 5+ day ago (507+ words) Learn how to fine-tune Qwen3.8-27B with Unsloth. Qwen3.8-27B can now be fine-tuned and trained with reinforcement learning (RL) via Unsloth. It is a dense 27B unified vision-language model with native text, image and video support, thinking controls and a 262K context window. Unsloth trains…...