Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute In dynamic execution, processors speculate about future instructions, dispatch work out of order and roll back ...
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