r/LocalLLaMA
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Local models + big context = slow. How are you orchestrating "map-reduce" style agent workflows?
I tried running local models (qwen3.6*, ds4 flash, gemma4*, etc) on my mbp pro m5 with 128Gb of unified memory and concluded the bottleneck is context size. The moment a conversation gets long (16k is already the bottleneck), inference slows to a crawl. If you work with Hermes agent you know this context size is almost