Expired50% confidenceFactExact time
The regular version of GLM 5.2 is approximately 400GB, the full-precision BF16 version reaches as high as 1.5TB, and even after quantization and pruning it remains at approximately 200GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/10/2026
First Seen
Valid until: 10/8/2026(expired)
Sources
Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models
youtubeTheo - t3․gg7/7/2026
Related Claims
UnverifiedUsing GGUF Q4 quantization as a baseline, a 7B model requires approximately 4–6 GB of VRAM, a 13B model requires approximately 8–10 GB, and a 70B model requires more than 40 GB or multi-GPU parallelism.76% similarUnverifiedUnsloth released 21 GGUF-format quantized versions of the Granite 4.1 3B model, with file sizes ranging from 1.2 GB to 6.34 GB, totaling approximately 51.3 GB.74% similarVerifiedThe DeepSeek R1 7B version requires approximately 14 GB of storage at original FP16 precision, and only 4.7 GB after quantization.71% similarUnverifiedWhen using FP16 precision, the KV Cache for LLaMA-2-7B occupies approximately 0.5 MB per token.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/410823API
curl https://kongchang.com/api/v1/knowledge/claims/410823MCP
get_claim(id=410823)