Unverified50% confidenceFactExact time
After excluding the 51B offloadable Embedding parameters, approximately 70B parameters need to be loaded into GPU VRAM; at FP8 precision, the N-Gram Embedding table occupies approximately 47.7 GB of VRAM, and offloading it can save approximately 48 GB of VRAM.
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50%
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Long-term
Relevance
9/6/2026
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Related Claims
VerifiedRunning local large models with more than 7 billion parameters typically requires a GPU with at least 16GB of VRAM.72% similarUnverifiedGPU上下文切换需保存完整GPU状态（包括寄存器文件、共享内存和L1缓存），数据量可达数百MB，而CPU上下文切换仅需保存几KB71% similarVerifiedRunning a 7B parameter model requires at least 8GB of VRAM, while a 70B parameter model requires a professional-grade GPU.70% similar
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