@10xmylife: Unsloth 成功将 2-bit 版本的 GLM-5.2 部署在了 256GB 的 Mac 上
Summary
Unsloth 成功将 GLM-5.2 模型以 2-bit 量化压缩至 238GB，可在 256GB Mac 上本地运行，保留约 82% 的准确率。
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Cached at: 06/20/26, 04:18 PM
Unsloth 成功将 2-bit 版本的 GLM-5.2 部署在了 256GB 的 Mac 上
Unsloth AI (@UnslothAI): GLM-5.2 can now be run locally!🔥
The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size).
Run on a 256GB Mac or RAM/VRAM setups.
GLM-5.2 is the strongest open model to date.
Guide: https://t.co/bI7FeeKHDd GGUF:
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Unsloth GLM-5.2 – How to Run Locally
A guide on running Z.ai's open model GLM-5.2 locally using Unsloth Dynamic GGUFs. The model features 744B total parameters (40B active) and a 1M context window, with quantized versions reducing memory to 239GB for 2-bit, enabling local inference on 256GB Macs.