Unverified50% confidenceBenchmarkExact time
TurboQuant 3.5-bit matches full precision in quality, with KV cache memory usage at about one quarter (validated by independent research based on vLLM).
1
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50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedUnder 4-bit and even 3-bit quantization, many models can still maintain more than 90% of their original performance.68% similarUnverifiedTaking 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.68% similarUnverifiedBy default, vLLM plans 90% of GPU VRAM into the budget via the --gpu-memory-utilization parameter, and only the remainder is used as KV cache.67% similarUnverifiedvLLM's throughput on the same hardware is typically an order of magnitude higher than Ollama's.67% similarUnverifiedvLLM的PagedAttention将KV缓存切分为固定大小物理块（通常16个token），使显存利用率从不足40%提升至接近90%65% similar
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