Unverified60% confidenceDecision RuleExact time
For local deployment, the largest model that fits within the available VRAM should be selected: 32 GB VRAM can support a 30B-class model, 16 GB is suitable for a model around 16B, and 8 GB is recommended for a 4B or smaller model.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/22/2026
First Seen
Valid until: 10/20/2026
Sources
Ollama本地部署大模型：Windows完整安装教程
Related Claims
UnverifiedThe advantage of 32 GB of memory is that larger models can be loaded locally without needing to reduce precision through quantization.77% similarUnverifiedEnd-to-end multimodal large model solutions typically require more than 16 GB of VRAM.76% similarVerifiedRunning local large models with more than 7 billion parameters typically requires a GPU with at least 16GB of VRAM.76% similar
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