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LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Sure if compaction was free then I'd do it all the time. One advancement I'd like to see is MoE models that use fewer active parameters/experts when compacting. We already have DeepSeek 4.1 that uses a different number of active parameters depending on what its doing (8b for prefill and 16b for decode) so it doesn't seem unreasonable to use fewer for compaction. It'd be like using a REAP model, but without having to load the model separately. Or even just use the MTP/draft model for compaction.