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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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- [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.
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