Unverified50% confidenceOpinionExact time
MQA (multi-query attention) has all heads share a single set of KVs; compared with GQA, GQA achieves a better balance between quality and efficiency.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
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Related Claims
VerifiedGQA (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.78% 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.72% similarUnverifiedMQA has all Query heads share the same set of KV, while GQA groups several Query heads together to share one set of KV, serving as a compromise between MHA and MQA.67% similarUnverifiedGQA reduces the size of the KV Cache by having multiple Query heads share the same set of Key-Value heads.66% similarUnverifiedThe concept of KV Cache groups originates from techniques such as GQA (Grouped Query Attention), where multiple query heads share the same set of KV heads.65% similar
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