GLM-5.2: Chop off 84% of the volume from a 1.5TB model, still retain 82% power
A new AI model called GLM-5.2 has been developed that reduces the original 1.5TB model size by 84%, yet retains 82% of its original performance capabilities.
Background
GLM is a large language model (LLM) developed by Zhipu AI (智谱AI), a leading Chinese AI company. The "GLM-5.2" in this tweet refers to an iteration of their model. The post claims that by pruning (removing) 84% of the model's size (originally 1.5TB), they retain 82% of its performance — a dramatic compression. This matters because it suggests major efficiency gains: smaller models are cheaper to run, faster, and can fit on consumer hardware, which lowers cost and energy use. Pruning vs. distillation vs. quantization are active areas of LLM research; if true, this is a significant result. However, the user (@AYi_AInotes) is not an official Zhipu account but an AI news aggregator, so details may be incomplete.