Unverified50% confidenceFactExact time
Taking the LLaMA-3 70B model as an example, with 80 layers, head_dim=128, and BF16 precision, each token occupies approximately 80KB of KV cache.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
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Related Claims
VerifiedTaking 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.75% similarUnverifiedTaking the LLaMA-2 70B model as an example, a sequence of 2048 tokens requires approximately 4 GB of VRAM for the KV cache alone.74% similarVerifiedEven after quantization, 70B-level models often require more than 40 GB of VRAM or a multi-GPU configuration.74% 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.74% similarUnverifiedM2 Max（96GB统一内存）理论上可流畅运行70B级别的量化模型73% similar
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