Expired50% confidenceFactExact time
After Q4 quantization, the 14B MoE model requires only 8.4 GB of VRAM, can barely run on an 8 GB GPU, and runs without any pressure on a 12 GB GPU
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedUsing the V100 (16GB VRAM) as a reference, the Ornith 9B model at Q6_K requires approximately 7–8GB of VRAM, while the 35B MoE requires approximately 20–22GB and needs dual V100s.79% similarUnverifiedThe Qwen 3.5 9B model is approximately 6.6 GB and is suited for GPUs with 8 GB of VRAM78% similarUnverifiedAn NVIDIA H100 single card has 80 GB of VRAM, and an 8-card node with 640 GB is still insufficient to load the full weights of Qwen3.8.75% similarUnverifiedEven compressing the weights to 214GB using 4-bit quantization still far exceeds the capacity of a single 48GB GPU.75% similarUnverifiedAfter 4-bit quantization, Qwen-7B can run smoothly on a consumer-grade GPU with 24 GB of VRAM.74% similar
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