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README.md
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- mixtral
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It performs really well in complex scenario and follows the character card quite well. The char card and previous message can affect a lot to the next reply style.
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The main idea is instead of _merging_ models to create new model, I try to put these best model into mixtral so it can work together. And the result is good, every model has its uniqueness and strength.
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Downside? it only support 8k (8192) context length...
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Alpaca prompting format.
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Exl2 of an old model. Found it still _really_ good and I'm still using it sometimes so 4.6bpw exl2 here is.
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Only support 8k (8192) context length...
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Alpaca prompting format.
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