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b3dbc04
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eb44425
auto-patch README.md
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README.md
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@@ -31,8 +31,20 @@ more details, including on how to concatenate multi-part files.
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q2_K.gguf) | Q2_K | 2.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.IQ3_XS.gguf) | IQ3_XS | 3.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.IQ3_M.gguf) | IQ3_M | 3.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Mahou-1.3a-mistral-7B-GGUF/resolve/main/Mahou-1.3a-mistral-7B.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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