Unverified50% confidenceFactExact time
GQA让多个查询头共享同一组键值头，Llama 2 70B 和 Llama 3 系列均采用了 GQA
1
Sources
50%
Confidence
Long-term
Relevance
8/22/2026
First Seen
Sources
Related Claims
UnverifiedGQA (Grouped-Query Attention) and MQA (Multi-Query Attention) were the industry's solutions prior to MLA for alleviating the KV cache problem by sharing Key/Value heads.70% similarVerifiedGrouped Query Attention (GQA) and Multi-Query Attention (MQA) reduce KV cache memory usage during inference by having multiple query heads share the same group of key/value heads, and are standard optimizations in models such as Llama 3 and Mistral.68% similarUnverifiedThe GGUF Q4_K_M format is the default recommended format for local inference tools such as Ollama65% similarUnverifiedThe Qwen series is compatible with vLLM, supports the GGUF format, and can be integrated with mainstream inference engines.64% similarUnverifiedGQE采用列式查询执行模型，底层依赖libcudf提供的列式数据处理原语61% similar
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