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A high-throughput and memory-efficient inference and serving engine for LLMs
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State-of-the-art LLM compression, built for production inference with vLLM
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Achieve state of the art inference performance with modern accelerators on Kubernetes
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Sparsity-aware deep learning inference runtime for CPUs
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RISC-V OS in Rust with hardware support for SiFive's HiFive1 board
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Implementations of bitmask compression for weight sparsity in PyTorch
Python 5 2
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