Expired80% confidenceBenchmarkExact time
Using 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.
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
Valid until: 10/7/2026(expired)
Sources
Complete Guide to Deploying Dify Locally: Docker + Ollama + RAG Setup Tutorial
bilibili前端vue实战项目7/6/2026
Related Claims
Unverified8GB 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.82% similarUnverifiedUnder 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.81% similar
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