Unverified50% confidenceFactExact time
With a 64K context, batch=2, and FP16 KV Cache, the KV Cache usage of this 70B model is about 39.06 GiB.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIf this 70B model used classic multi-head attention (MHA, 64 KV heads), the KV Cache under the same conditions would expand to 312.5 GiB.75% 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% similarVerifiedLLaMA-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 context73% 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.72% similarUnverifiedIn a scenario with a 128K context and batch size 16, the KV Cache can occupy nearly two-thirds of total GPU memory (45%-65%).70% similar
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