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auto-patch README.md

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@@ -35,6 +35,19 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q8_0.gguf) | Q8_0 | 13.8 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q2_K.gguf) | Q2_K | 4.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.IQ3_XS.gguf) | IQ3_XS | 5.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q3_K_S.gguf) | Q3_K_S | 5.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.IQ3_S.gguf) | IQ3_S | 5.7 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.IQ3_M.gguf) | IQ3_M | 5.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q3_K_M.gguf) | Q3_K_M | 6.3 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q3_K_L.gguf) | Q3_K_L | 6.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.IQ4_XS.gguf) | IQ4_XS | 7.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q4_K_S.gguf) | Q4_K_S | 7.4 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q4_K_M.gguf) | Q4_K_M | 7.9 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q5_K_S.gguf) | Q5_K_S | 9.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q5_K_M.gguf) | Q5_K_M | 9.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q6_K.gguf) | Q6_K | 10.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/MultiMash10-13B-slerp-GGUF/resolve/main/MultiMash10-13B-slerp.Q8_0.gguf) | Q8_0 | 13.8 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant