auto-patch README.md
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README.md
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@@ -30,14 +30,28 @@ 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/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ2_M.gguf) | i1-IQ2_M | 6.9 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q2_K.gguf) | i1-Q2_K | 7.7 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 8.1 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_M.gguf) | i1-IQ3_M | 9.2 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q3_K_M.gguf) | i1-Q3_K_M | 10.0 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ4_XS.gguf) | i1-IQ4_XS | 11.1 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_K_S.gguf) | i1-Q4_K_S | 11.8 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_K_M.gguf) | i1-Q4_K_M | 12.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q6_K.gguf) | i1-Q6_K | 17.0 | 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/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ1_S.gguf) | i1-IQ1_S | 4.4 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ1_M.gguf) | i1-IQ1_M | 4.8 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 5.6 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ2_XS.gguf) | i1-IQ2_XS | 6.2 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ2_S.gguf) | i1-IQ2_S | 6.3 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ2_M.gguf) | i1-IQ2_M | 6.9 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q2_K_S.gguf) | i1-Q2_K_S | 7.1 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q2_K.gguf) | i1-Q2_K | 7.7 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 8.1 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_XS.gguf) | i1-IQ3_XS | 8.6 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_S.gguf) | i1-IQ3_S | 9.1 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q3_K_S.gguf) | i1-Q3_K_S | 9.1 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ3_M.gguf) | i1-IQ3_M | 9.2 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q3_K_M.gguf) | i1-Q3_K_M | 10.0 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q3_K_L.gguf) | i1-Q3_K_L | 10.8 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-IQ4_XS.gguf) | i1-IQ4_XS | 11.1 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_0.gguf) | i1-Q4_0 | 11.8 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_K_S.gguf) | i1-Q4_K_S | 11.8 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_K_M.gguf) | i1-Q4_K_M | 12.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q4_1.gguf) | i1-Q4_1 | 13.0 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q5_K_S.gguf) | i1-Q5_K_S | 14.3 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q5_K_M.gguf) | i1-Q5_K_M | 14.7 | |
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| [GGUF](https://huggingface.co/mradermacher/GigaChat-20B-A3B-base-i1-GGUF/resolve/main/GigaChat-20B-A3B-base.i1-Q6_K.gguf) | i1-Q6_K | 17.0 | 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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