several types of attention modules written in PyTorch for learning purposes
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Updated
Oct 1, 2024 - Python
several types of attention modules written in PyTorch for learning purposes
Collection of different types of transformers for learning purposes
CUDA implementation of Multi-Query Attention achieving 97% KV-cache memory reduction for LLM inference, enabling 32x larger batch sizes. Educational project demonstrating CUDA kernel development with PyTorch integration and Llama model benchmarks.
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