Expired80% confidenceOpinionTime unknown
8 GB of VRAM is recommended for running 7B models (Q4 quantization), 16 GB for 7B to 14B models, 24 GB for 14B to 32B models, and 32 GB for 32B to 70B models (Q4 quantization)
8
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 8/30/2026(expired)
Sources
本地部署大模型怎么判断显存爆了？一文看懂显存监控方法
bilibili步步梅
Related Entities
Related Claims
UnverifiedUnder hardware conditions of 16 GB of memory, only models within 5 GB can be accommodated, so the developer used the Qwen 2.5 7B 4-bit quantized model, which is approximately 4.8 GB in size, with an 8K context window.84% similarUnverifiedUsing 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.84% similarVerifiedA 30B parameter model that originally required 60 GB of VRAM can run on consumer-grade GPUs with 16 GB or even 8 GB of VRAM after quantization.83% similar
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