Verified65% confidenceBenchmarkExact time
LLaMA-2 7B's KV Cache occupies approximately 2 GB with a 4096-token context, and can surge to over 16 GB when extended to a 32K context
3
Sources
65%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
VerifiedLLaMA-2-70B's KV Cache for a single request at a context length of 128K can occupy more than 160 GB of VRAM.81% similarUnverifiedFor the LLaMA-2 70B model, when processing a context of 4096 tokens, the KV Cache requires approximately 20 GB of system memory at FP16 precision.79% similarVerifiedTaking LLaMA-2 70B as an example, when processing a 4096-token context with a batch size of 32, the KV Cache can consume over 80 GB of memory.79% similarVerifiedThe KV cache size can be expressed with the formula cache = 2 (K and V) × layers × KV heads × head dim × tokens × 2 bytes, where 2 bytes corresponds to FP16, doubling when using FP32, and halving when using INT8 quantization.78% similarVerifiedThe size of the KV cache grows linearly with context length; the KV cache for Qwen 2.5 32B at a 64K context may consume several additional gigabytes of memory.77% similar
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