Unsloth releases GLM-5.3-Flash local-run GGUF quantized version
Unsloth announces that GLM-5.3-Flash can run locally via its GGUF quantized version; the 3-bit quantization requires 128GB of memory, and a usage guide and GGUF download link are included. The cited Z.ai release information shows that GLM-5.3-Flash is a 320B-A18B model under the MIT license, natively multimodal and supporting a 1M token context window; it was previously previewed under the name Ox Alpha and runs entirely on Chinese AI chips. Unsloth says the model is comparable to Claude Opus 4.8 on DeepSWE, coding, and agent benchmarks.
Why read this
SelectedAI score 66
Unsloth releases the GGUF quantized version of GLM-5.3-Flash, so readers can judge the VRAM and memory thresholds required for local deployment.
Topics
View original postIntroducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips Blog: https://t.co/tzOmB7gdZP Available now across all official platforms: Weights: https://t.co/9LRMahY9Wa API: https://t.co/VcaQnzYmS9 Coding Plan: https://t.co/Nk8Y98HNhU ZCode: https://t.co/Peepqv4XSx Chat: https://t.co/WCqWT0qCQb AutoClaw: https://t.co/aGEG5HqTTb
View original
Introducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips Blog: https://t.co/tzOmB7gdZP Available now across all official platforms: Weights: https://t.co/9LRMahY9Wa API: https://t.co/VcaQnzYmS9 Coding Plan: https://t.co/Nk8Y98HNhU ZCode: https://t.co/Peepqv4XSx Chat: https://t.co/WCqWT0qCQb AutoClaw: https://t.co/aGEG5HqTTb
Body
The English body is being prepared. You can open the original source.