mradermacher
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auto-patch README.md
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README.md
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static quants of https://huggingface.co/cognitivecomputations/dolphin-2.9.1-mixtral-1x22b
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<!-- provided-files -->
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weighted/imatrix quants
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.IQ3_S.gguf) | IQ3_S | 9.8 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q8_0.gguf) | Q8_0 | 23.7 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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static quants of https://huggingface.co/cognitivecomputations/dolphin-2.9.1-mixtral-1x22b
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-i1-GGUF
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q2_K.gguf) | Q2_K | 8.4 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.IQ3_XS.gguf) | IQ3_XS | 9.3 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q3_K_S.gguf) | Q3_K_S | 9.7 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.IQ3_S.gguf) | IQ3_S | 9.8 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.IQ3_M.gguf) | IQ3_M | 10.2 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q3_K_M.gguf) | Q3_K_M | 10.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q3_K_L.gguf) | Q3_K_L | 11.8 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.IQ4_XS.gguf) | IQ4_XS | 12.1 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q4_K_S.gguf) | Q4_K_S | 12.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q4_K_M.gguf) | Q4_K_M | 13.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q5_K_S.gguf) | Q5_K_S | 15.4 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q5_K_M.gguf) | Q5_K_M | 15.8 | |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q6_K.gguf) | Q6_K | 18.3 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/dolphin-2.9.1-mixtral-1x22b-GGUF/resolve/main/dolphin-2.9.1-mixtral-1x22b.Q8_0.gguf) | Q8_0 | 23.7 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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