Expired80% confidenceFactExact time
8GB of VRAM is sufficient to run Q4/Q5 quantized versions of 7B models (all layers on GPU), while 12GB of VRAM can run Q4 quantized versions of 14B models or Q8 versions of 7B models.
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
bilibili乐优科技5/29/2026
Related Claims
VerifiedUsing GGUF Q4 quantization as a baseline, a 7B model requires approximately 4–6 GB of VRAM, a 13B model requires approximately 8–10 GB, and a 70B model requires more than 40 GB or multi-GPU parallelism.82% similarVerifiedThe Qwen2.5 9B model can run smoothly on consumer-grade GPUs (such as those with 8GB of VRAM).79% similarUnverifiedFor 8 GB VRAM, Llama 3.1 8B Instruct, Qwen2.5 7B Instruct, and Mistral 7B with Q4_K_M quantization are recommended.79% similarUnverifiedQwen2 7B模型（70亿参数）运行约需6GB显存78% similar
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