Flash Linear Attention: Efficient Attention Mechanisms for Transformers
The transformer architecture has been the dominant model for sequence processing since its introduction, but it carries a fundamental limitation: …
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CUDA
Causal-Conv1d: The CUDA-Optimized Kernel Powering Mamba State Space Models
The Transformer architecture has dominated deep learning for years, but a new challenger has emerged: state space models (SSMs). At the heart of …
bitsandbytes: Essential k-bit Quantization Library for LLM Training and Inference
Large language models have grown far beyond the memory capacity of consumer hardware. A 70-billion-parameter model requires 140 gigabytes of GPU …