auto-patch README.md
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README.md
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@@ -33,9 +33,29 @@ 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/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q2_K.gguf) | i1-Q2_K | 10.6 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ3_M.gguf) | i1-IQ3_M | 12.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q4_K_S.gguf) | i1-Q4_K_S | 15.8 | optimal size/speed/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/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ1_S.gguf) | i1-IQ1_S | 6.4 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ1_M.gguf) | i1-IQ1_M | 6.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 7.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ2_XS.gguf) | i1-IQ2_XS | 8.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ2_S.gguf) | i1-IQ2_S | 8.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ2_M.gguf) | i1-IQ2_M | 9.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q2_K_S.gguf) | i1-Q2_K_S | 9.9 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q2_K.gguf) | i1-Q2_K | 10.6 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 10.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ3_XS.gguf) | i1-IQ3_XS | 11.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ3_S.gguf) | i1-IQ3_S | 12.3 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q3_K_S.gguf) | i1-Q3_K_S | 12.3 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ3_M.gguf) | i1-IQ3_M | 12.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q3_K_M.gguf) | i1-Q3_K_M | 13.5 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q3_K_L.gguf) | i1-Q3_K_L | 14.6 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-IQ4_XS.gguf) | i1-IQ4_XS | 14.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q4_0.gguf) | i1-Q4_0 | 15.7 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q4_K_S.gguf) | i1-Q4_K_S | 15.8 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q4_K_M.gguf) | i1-Q4_K_M | 16.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q4_1.gguf) | i1-Q4_1 | 17.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q5_K_S.gguf) | i1-Q5_K_S | 18.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q5_K_M.gguf) | i1-Q5_K_M | 19.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Fornax-V4-27B-QAT-i1-GGUF/resolve/main/Gemma-3-Fornax-V4-27B-QAT.i1-Q6_K.gguf) | i1-Q6_K | 22.3 | 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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types (lower is better):
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