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  # Wizard-LM-2-8x22-iMat-GGUF
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- Quantized from fp32 with love. If you're on the latest release of llama.cpp you should no longer need to combine files before loading
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- * Weighted quantizations created using Wizard-LM-2-8x22 [imatrix file](https://huggingface.co/jukofyork/WizardLM-2-8x22B-imatrix) provided by jukofyork
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- * Calculated in 105 chunks with n_ctx=512 using groups_merged.txt
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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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  <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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- FP16 model card can be found [here](https://huggingface.co/alpindale/WizardLM-2-8x22B)
 
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  # Wizard-LM-2-8x22-iMat-GGUF
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+ Quantized from fp32 with love.
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+ * Weighted quantizations created with .imatrix file calculated in 105 chunks with n_ctx=512 using groups_merged.txt
 
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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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  <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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+ BFloat16 model card can be found [here](https://huggingface.co/maywell/miqu-evil-dpo)