Unverified50% confidenceFactExact time
The parameter count of 124M is close to the scale of GPT-2 Small.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
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Related Claims
VerifiedThe model weights of Flux 2's 9B parameter model occupy approximately 18GB of VRAM at FP16 precision, typically requiring more than 24GB of GPU VRAM.71% similarUnverifiedThe MiniCPM-2B model supports a 131K context70% similarUnverifiedMainstream GPU inference solutions (such as deployments based on NVIDIA H100) typically achieve only a few dozen to one or two hundred tokens per second on 27B-scale models.67% similarVerifiedA GPT-4-class model with 175 billion parameters requires approximately 175 GB of VRAM even when stored at fp8 precision.67% similar
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