Unverified50% confidenceDecision RuleExact time
It is recommended to keep KV cache precision at 8-bit or 16-bit when VRAM permits, especially in long-context or precise tool-calling scenarios.
1
Sources
50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
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Related Claims
UnverifiedFP8 KV cache is a quantization technique that compresses the Key-Value cache in the attention mechanism from FP16 or BF16 to 8 bits, which can halve the GPU memory usage of the KV cache73% similarUnverifiedINT4 quantization can further compress the KV Cache to 0.5 bytes, but may require calibration data to ensure accuracy.73% similarVerifiedFor a model with 70B parameters, the KV Cache for an 8K context may occupy several additional gigabytes of VRAM71% 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 second71% similar
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