mradermacher
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auto-patch README.md
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README.md
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@@ -24,7 +24,7 @@ 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/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ1_S.gguf) | i1-IQ1_S | 25.7 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ1_M.gguf) | i1-IQ1_M | 28.1 |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 32.2 | |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 35.8 | |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_S.gguf) | i1-IQ2_S | 37.6 | |
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@@ -38,7 +38,7 @@ more details, including on how to concatenate multi-part files.
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 58.2 | IQ3_S probably better |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 63.4 | IQ3_M probably better |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 64.6 | |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_NL.gguf.part2of2) | i1-IQ4_NL | 68.3 |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 68.4 | fast, low quality |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 68.7 | optimal size/speed/quality |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 72.6 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 85.4 | |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part3of3) | i1-Q6_K | 99.1 | 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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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ1_S.gguf) | i1-IQ1_S | 25.7 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ1_M.gguf) | i1-IQ1_M | 28.1 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 32.2 | |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 35.8 | |
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| [GGUF](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ2_S.gguf) | i1-IQ2_S | 37.6 | |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 58.2 | IQ3_S probably better |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 63.4 | IQ3_M probably better |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 64.6 | |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-IQ4_NL.gguf.part2of2) | i1-IQ4_NL | 68.3 | prefer IQ4_XS |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 68.4 | fast, low quality |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 68.7 | optimal size/speed/quality |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 72.6 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 85.4 | |
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| [PART 1](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/QueenLiz-120B-i1-GGUF/resolve/main/QueenLiz-120B.i1-Q6_K.gguf.part3of3) | i1-Q6_K | 99.1 | 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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