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README.md
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---
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base_model:
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- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
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- MarinaraSpaghetti/NemoMix-Unleashed-12B
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library_name: transformers
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tags:
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- mergekit
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- merge
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- ru
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- en
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---
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# SAINEMO-reMIX
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---
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base_model:
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- Moraliane/SAINEMO-reMIX
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library_name: exllamav2
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tags:
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- mergekit
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- merge
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- ru
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- en
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# SAINEMO-reMIX-exl2
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Original model: [SAINEMO-reMIX](https://huggingface.co/Moraliane/SAINEMO-reMIX) by [Moraliane](https://huggingface.co/Moraliane)
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## Quants
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[4bpw h6 (main)](https://huggingface.co/cgus/SAINEMO-reMIX-exl2/tree/main)
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[4.5bpw h6](https://huggingface.co/cgus/SAINEMO-reMIX-exl2/tree/4.5bpw-h6)
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[5bpw h6](https://huggingface.co/cgus/SAINEMO-reMIX-exl2/tree/5bpw-h6)
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[6bpw h6](https://huggingface.co/cgus/SAINEMO-reMIX-exl2/tree/6bpw-h6)
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[8bpw h8](https://huggingface.co/cgus/SAINEMO-reMIX-exl2/tree/8bpw-h8)
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## Quantization notes
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Made with Exllamav2 0.2.8 with default dataset. This seems to be a Russian RP and perhaps a general-purpose model.
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It can be used with TabbyAPI, Text-Generation-WebUI with RTX GPU (Windows) or RTX/ROCm (Linux).
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The model has to fully fit your VRAM for optimal performance. If it doesn't fit, use GGUF version instead.
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Для использования требуется TabbyAPI или Text-Generation-WebUI и видеокарта RTX (Windows) или RTX/ROCm (Linux).
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Модели в exl2 формате должны помещаться в видеопамять видеокарты.
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Если видеопамяти недостаточно, то лучше использовать модели в GGUF формате.
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# SAINEMO-reMIX
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