Unverified50% confidenceFactExact time
With QNPUTER, the model file goes from 9.3GB to 18.8GB, and most of the increase is padding zeros.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
Related Entities
Related Claims
UnverifiedQuantized model files are generally between 6 GB and 20 GB in size.72% similarUnverifiedFor ModelFit on Kimi K3 (unsloth repository), the UD-Q1_0 quantization has a measured file size of 466.4 GB and requires 561.1 GB of VRAM/RAM at an 8K context; UD-Q4_K_XL has a measured file size of 1.51 TB and requires about 1.6 TB; F16 is about 3 TB.71% similarUnverifiedWhen the author ran Qwen-Image-2.1 at 1024×1024 resolution on the same Mac, the process footprint never exceeded 18.5 GB, but swap grew by 3.5 GB during the denoising stage and by 9.6 GB during the VAE decoding stage, and finally the memory guard actively terminated the run before writing out the image.69% similarVerified4-bit quantization (such as Q4_K_M) can typically compress the memory footprint of a 3B model from approximately 6GB to approximately 2GB, with a precision loss of less than 2–3%.69% similarUnverifiedQ4 quantized weights are approximately 111GB, which neither VRAM nor RAM can fully accommodate, requiring missing experts to be transferred from the SSD through RAM into VRAM, with the bottleneck being bandwidth rather than compute.69% similar
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