Unsloth Shrinks Qwen3.8 by 91% for Local Deployment
Unsloth AI introduced Dynamic 1-bit quantization, successfully compressing the massive Qwen3.8-2.4T-A95B model from 4.9TB to 397GB, reducing its size by 91% while maintaining impressive performance. The team also released a local deployment guide to lower hardware barriers.
2026-08-13 ~ 2026-08-13 · 3 related posts
- Episode 1: Alibaba's Qwen Open-Sources Qwen3.8-Max, a 2.4T-Parameter Flagship MoE Model(2026-08-12, 21 posts)
- Episode 2: Unsloth Shrinks Qwen3.8 by 91% for Local Deployment(2026-08-13, 3 posts)
- Episode 3: vLLM Announces Day-0 Support for Qwen3.8 2.4T Model(2026-08-13, 2 posts)
- Episode 4: Together AI Launches Serverless Inference for Qwen3.8-2.4T-A95B(2026-08-13, 2 posts)
- Episode 5: Alibaba's Qwen3.8-Max Lands on Five Hosted Platforms with Open Weights(2026-08-13, 6 posts)
- Run Qwen3.8 Locally: Unsloth Shrinks Model Size by 91% via 1-bit Quantization — danielhanchen · 2026-08-13
- Unsloth Releases Qwen3.8 Local Deployment Guide with 1-bit Quantization Down to 397GB — MaziyarPanahi · 2026-08-13
- Qwen 1-bit Quantization Shrinks Model to 397GB, a 91% Reduction — danielhanchen · 2026-08-13