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auto-patch README.md
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README.md
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<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/maywell/PiVoT-MoE
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/PiVoT-MoE-GGUF
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## Usage
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q2_K.gguf) | i1-Q2_K | 13.3 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.6 | optimal size/speed/quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/maywell/PiVoT-MoE
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/PiVoT-MoE-GGUF
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## Usage
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-IQ2_M.gguf) | i1-IQ2_M | 12.0 | |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q2_K.gguf) | i1-Q2_K | 13.3 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.7 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-IQ4_XS.gguf) | i1-IQ4_XS | 19.4 | |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.6 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/PiVoT-MoE-i1-GGUF/resolve/main/PiVoT-MoE.i1-Q6_K.gguf) | i1-Q6_K | 29.7 | practically like static Q6_K |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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