Unsloth compresses Qwen3.8-2.4T-A95B to 397GB and supports local running
AI summary
Unsloth uses Dynamic 1-bit selective quantization layers to compress Qwen3.8-2.4T-A95B from 4.9TB to 397GB, a 91% reduction in size. The model can now run locally via Unsloth Desktop in more than 410GB of memory or VRAM, and the official team has also released a usage guide and GGUF files.
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SelectedAI score 64
The original text provides the post-quantization size change and the local running threshold, so readers can judge the feasibility of local deployment of large models.
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