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Attention Mechanism
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Grouped-Query Attention
Grouped-Query Attention
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23 questions
Questions tagged with Grouped-Query Attention — part of Attention Mechanism.
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Questions
Which recipe does a frontier open weight LLM block ship?
Multiple Choice
Medium
At batch 16 and 4k context with FP8 weights, which model still fits on one 80 GB H100?
Multiple Choice
Medium
Per token decode time grows linearly as a chat session lengthens, debug it
Short Answer
Medium
Expand MQA and state its KV-cache cost tradeoff
Flashcard
Easy
Define GQA in transformer attention
Flashcard
Easy
What do you gain and lose by tying K and V to one projection?
Multiple Choice
Medium
Spot the GQA configuration error: num_attention_heads=32, num_key_value_heads=7.
Spot the Error
Medium
Which config token names the count of parallel attention heads in a layer?
Flashcard
Easy
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Why does MQA underperform…
Short Answer
Medium
How many KV heads does Llama-2 70B keep with 64 query heads?
Multiple Choice
Easy
What does GQA stand for, and describe its KV sharing pattern?
Flashcard
Easy
Match GPT-2 versus Llama-2 attention design choices to their differences
Match Pairs
Medium
Why is decode phase attention memory bandwidth bound when the model generates one token at a time?
Short Answer
Medium
How does DeepSeek's Multi-head Latent Attention (MLA) compress the KV cache below GQA?
Short Answer
Hard
Match MLA, GQA and MQA to their mechanisms, cache reduction and quality posture
Match Pairs
Hard
Compute the KV cache size in GB for given model dimensions
Predict Output
Hard
Which statement most accurately captures why GQA, not MQA, became the production default?
Multiple Choice
Medium
Match each attention variant to its KV-cache property and a production user
Match Pairs
Medium
For a 64-Q-head model with GQA group size G=8, how many K/V heads exist and what is the cache reduction vs MHA?
Short Answer
Medium
Compare MHA, MQA, GQA, and MLA. What production tradeoff does each one address, and which models use it?
Short Answer
Hard
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Match each attention variant…
Match Pairs
Hard
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Why is KV cache…
Short Answer
Hard
Compute the KV cache memory for a single request at 4096 context on Llama-2 70B (MHA) in FP16.
Predict Output
Hard
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