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Swan – A Lightweight Language Model Execution Environment Using FPGA
This project aims to enable language model inference on FPGAs, supporting AI applications in edge devices and environments with limited resources. - turingmotors/swan
Its goal is to efficiently run language models on general-purpose FPGAs using High-Level Synthesis (HLS). This project aims to enable language model inference on FPGAs, supporting AI applications in edge devices and environments with limited resources. Lightweight: Considers the size constraints of language models and adopts an efficient architecture.
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