The open source implementation of the multi grouped query attention by the paper "GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints" - kyegomez/MGQA
GQA: Paper Member mattdangerw commented Sep 19, 2023 Probably easiest to just write GroupedQueryAttention, and consider MultiQueryAttention a special case of it. We can expose MultiQueryAttention, as subclass of GroupedQueryAttention that sets a single init value num_key_value_heads=1 on the ...
From the Create ribbon, choose the Report Wizard command. The first step of the wizard asks where fields will come from. If the qSalesCrosstab query isn't selected in the Tables/Queries list, use the dropdown to choose it. Use the double-arrow button to move all of the fields from ...
MultiQueryAttention (MQA) [Used in Falcon LLM] and GroupedQueryAttention (GQA) [Used in Llama 2 LLM] are alternatives to MultiHeadAttention (MHA) but they are a lot faster. Here's the speed comparison in my naive implementation, ===...
Reproduce fine-tuning results fromGQA paper, figures 3,5 Install PyPI: (NOT YET AVAILABLE) pip install grouped-query-attention-pytorch From source: pip install"grouped-query-attention-pytorch @ git+ssh://git@github.com/fkodom/grouped-query-attention-pytorch.git" ...
### Grouped Query-Key L2 Normalization This paper proposes to l2 normalize the queries and keys along the head dimension before the dot product (cosine similarity), with the additional change of the scale being learned rather than static. The normalization prevents the attention operation from ...
Query Refinement Transformer for 3D Instance Segmentation-ICCV 2023-[github] 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision-ICCV 2023-github CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation-ICCV 2023-github ...