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license: cc-by-4.0
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---
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Original model card [here](https://huggingface.co/Sao10K/Typhon-Mixtral-v1)
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All credits to [Sao10K](https://huggingface.co/Sao10K/) for the original model.
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Typhon-Mixtral-v1 quantized with love.
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license: cc-by-4.0
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tags:
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- merge
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- gguf
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- storywriting
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- text adventure
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- iMat
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<img src="https://i.imgur.com/P68dXux.png" width="400"/>
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Original model card [here](https://huggingface.co/Sao10K/Typhon-Mixtral-v1)
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All credits to [Sao10K](https://huggingface.co/Sao10K/) for the original model.
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Typhon-Mixtral-v1 quantized with love. Imatrix dat file calculated with Q8_0 GGUF.
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For a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747)
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<i>All quants are verified working prior to uploading to repo for your safety and convenience. </i>
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Please note importance matrix quantizations are a work in progress, IQ3 and above is recommended for best results.
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<b>Tip:</b> Pick a size that can fit in your GPU while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well.
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Original model card can be found [here](https://huggingface.co/rhplus0831/maid-yuzu-v8-alter)
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