Expired50% confidenceFactExact time
GLM-5.2 has 753 billion parameters, and its complete weight file exceeds 1.5 TB when stored in BF16 precision
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/11/2026
First Seen
Valid until: 10/9/2026(expired)
Sources
Related Claims
UnverifiedThe GGUF format supports multiple precision levels such as 4-bit and 8-bit, and can compress the memory footprint of a 7-billion-parameter model from approximately 14 GB (FP16) to approximately 4 GB (Q4_K_M quantization), with inference accuracy loss typically within 1–3%.78% similarUnverifiedGLM-5.2's model weights exceed 1.5 TB in download size, and even the 1-bit quantized compressed version requires approximately 200 GB of VRAM to run.77% similarUnverifiedAWQ和GGUF均能将700亿参数模型存储体积从FP16的约140GB压缩至INT4的约35-40GB，可在单张RTX 4090上运行，精度损失通常控制在1-3%以内71% similarVerifiedIn FP16 precision, large models require approximately 2 GB of VRAM per 1 billion parameters.71% similarVerifiedQ4_K_M uses mixed precision, storing some critical weights at 6-bit and the remainder at 4-bit, with an overall average of approximately 4.5-bit.67% similar
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