mradermacher
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auto-patch README.md
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README.md
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@@ -64,6 +64,7 @@ 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/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.5 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.5 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.4 | |
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@@ -72,14 +73,18 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.1 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.1 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.8 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 15.3 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.3 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.7 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.9 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.6 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 26.6 | 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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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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+
| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 7.9 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 8.5 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.5 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.4 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.1 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.1 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.1 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.8 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 14.9 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 15.3 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.3 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.7 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.9 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 18.9 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.6 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.2 | |
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| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF/resolve/main/aya-expanse-32b-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 26.6 | 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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