Unverified60% confidenceFactTime unknown
Using INT4 quantization technology can reduce the size of a 20B model from approximately 40 GB to approximately 10 GB.
2
Sources
60%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQuantized model files are generally between 6 GB and 20 GB in size.79% similarVerified4-bit quantization compresses each parameter to 0.5 bytes, theoretically compressing 140GB down to approximately 35–40GB.77% similarVerifiedAfter applying INT4 quantization, the memory footprint of a 3B parameter model can be reduced to approximately 2 GB.76% similarUnverifiedConverting the 8-bit Ngram table to 4-bit can save approximately 100 GB, reducing the model size from approximately 475 GB to approximately 385 GB.76% similarUnverifiedQuantization can compress the storage size of a 70-billion-parameter model from approximately 140 GB in FP16 to approximately 35–40 GB in INT4, enabling it to run on consumer-grade hardware such as a single RTX 4090 with CPU memory offloading.75% similar
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