Unverified50% confidenceFactExact time
Even with the most aggressive quantization, a model with a total of 177B parameters still occupies approximately 72.5GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/18/2026
First Seen
Valid until: 12/17/2026
Sources
Related Entities
Related Claims
UnverifiedThe model weights alone of a 175-billion-parameter model (in BF16 precision) require 350 GB of storage, and the Adam optimizer must maintain two sets of states—first-order moments and second-order moments—totaling more than 1 TB.76% similarVerifiedUsing float16 precision as a baseline, each parameter occupies approximately 2 bytes, meaning a 7B model requires approximately 14GB of VRAM/memory, and a 70B model requires approximately 140GB.75% similarUnverifiedThe M2 Max (96 GB unified memory) can theoretically run quantized models at the 70B level smoothly.74% similarVerifiedFine-tuning a 7B-parameter model with full-parameter fine-tuning may require tens of gigabytes of VRAM.73% similar
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