Enthusiast Reduces GLM-5.2 Language Model Size from 1.4TB to 980GB
An enthusiast has reduced the size of the GLM-5.2 language model from 1.4TB to 980GB without changing its content, using a new approach to weight management.
Enthusiast Reduces GLM-5.2 Language Model Size from 1.4TB to 980GB
An enthusiast has reduced the size of the GLM-5.2 language model from 1.4TB to 980GB without changing its content.
According to him, the method does not use quantization, fine-tuning, or any other modifications to the model.
It is claimed that the model remains bit-for-bit identical to the original, and the reduction in size is achieved through a new approach to handling weights. Instead of pre-expanding the full model, the weights are stored in a compressed form directly in VRAM, which avoids the need to restore them before performing computations.
Why it matters
AnalysisThis method significantly reduces the size of language models, potentially lowering storage and processing costs, making AI technologies more accessible.
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