Run GLM-5.3-Flash locally: 3-bit on 128GB RAM via Unsloth
StefanoGogioso · x · 2026-08-27
Z.ai's GLM-5.3-Flash (320B params) now runs locally via Unsloth GGUF. The 1-bit quantization requires 100GB memory (retaining 71% accuracy), while 3-bit needs 128GB (retaining 87%). It rivals Claude Opus 4.8 on DeepSWE and agentic benchmarks, using a hybrid sparse/linear attention architecture.
Related event: Z.ai Open-Sources GLM-5.3 and GLM-5.3-Flash(28 posts)→
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