Unverified50% confidenceCautionExact time
When deploying Kolibri, the MoE model still requires loading all 78B parameters into VRAM, making VRAM capacity the primary constraint.
1
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50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
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UnverifiedMoE模型采用稀疏激活，Qwen 3.5 122B总参数122B但每次推理仅激活约10B，需将全部参数加载进内存，对内存容量极度敏感72% similarUnverifiedThe file size and VRAM usage of a MoE model depend on the total parameter count rather than the activated parameter count, because all expert weights need to be stored.69% similarVerifiedRunning a 7B parameter model requires at least 8GB of VRAM, while a 70B parameter model requires a professional-grade GPU.67% similarUnverifiedSparse activation reduces computational load rather than memory footprint; the total 78B parameters still require considerable VRAM or memory resources.66% similarUnverifiedLlama 2开放了7B到70B参数规模的模型权重66% similar
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