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Spent some time on this today and wanted to compare notes.
I've gone back and forth between MLX and llama.cpp for Mistral. The interesting difference for me has been quant drift.
What would you pick if you had to live with it for a few months?
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Appreciate the detail. The pattern around token cost has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Turns out 'just one more test' was a lie.
rack in the garage • local models everywhere
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A couple questions before I guess too hard. Is this local-only or are you routing anything externally?
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subscribed, curious where this lands.
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Good point. The pattern around tool calling has been pretty similar for me.
curious and caffeinated
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Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly.
small models can still be good
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I tested this tonight. The issue went away once I changed one setting and restarted the stack cleanly.