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  LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size.
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  Check the [LoRA](https://huggingface.co/rAIfle/Acolyte-LORA) for dataset info.
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- Use `Mistral V2 & V3` template.
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- ## Quants
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-
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- - [iMat GGUFs](https://huggingface.co/Quant-Cartel/Acolyte-22B-iMat-GGUF)
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- - [exl2 longcals](https://huggingface.co/Quant-Cartel/Acolyte-22B-exl2-longcal)
 
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  LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size.
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  Check the [LoRA](https://huggingface.co/rAIfle/Acolyte-LORA) for dataset info.
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+ Use `Mistral V2 & V3` template.