Unverified50% confidenceBenchmarkExact time
Taking a 7B parameter model as an example, each additional 1K tokens of context consumes approximately 0.5–1 GB of GPU memory.
1
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50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
ChatGPT接入本地大模型：零成本无限Token完整教程
Related Claims
UnverifiedFor a typical 7B-parameter model, the KV Cache per 1K tokens requires approximately 0.5–1 GB of VRAM.83% similarVerifiedFine-tuning a 7B-parameter model with full-parameter fine-tuning may require tens of gigabytes of VRAM.76% similarUnverifiedFor a typical 7B model with 32 layers and 32 attention heads, storing the KV Cache for each token requires approximately 0.5 MB of VRAM, so generating 1,000 tokens requires an additional ~500 MB of VRAM76% similarUnverifiedFor a model with 70B parameters, the KV Cache for an 8K context may occupy several additional gigabytes of VRAM76% similar
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