Unverified50% confidenceFactExact time
考虑KV Cache、激活值和CUDA运行时开销后，7B模型总显存需求轻松突破20GB
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedRunning LLM models with 7B parameters or above is recommended with more than 16GB of memory and an NVIDIA GPU with CUDA support.75% similarUnverifiedFor a model with 70B parameters, the KV Cache for an 8K context may occupy several additional gigabytes of VRAM74% similarUnverifiedWhen models with hundreds of billions of parameters process a 128K context window, KV Cache can occupy tens of gigabytes of VRAM.71% similarUnverifiedThe KV Cache of a 70B-parameter model with 128K context support can require hundreds of gigabytes of VRAM at full load, exceeding the 80GB VRAM capacity of a single H100.71% similarPartially VerifiedFor the 4-bit quantized version of a 7B parameter model, at least 8GB of memory and a modern multi-core CPU are typically required for smooth operation, with inference speeds of approximately 10–30 tokens per second70% similar
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