#Multi-head-attention

Showing 6 of 6 repositories tagged #multi-head-attention, ranked by stars

Exploring attention weights in transformer-based models with linguistic knowledge.

Visualization for simple attention and Google's multi-head attention.

Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.

The original transformer implementation from scratch. It contains informative comments on each block

Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.

Implementation of build a LLM from scratch by Sebastian Raschka.