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FashionGPT-70B-V1.1-i1-GGUF

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GGUF
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auto-patch README.md

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@@ -36,7 +36,7 @@ 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/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ1_S.gguf) | i1-IQ1_S | 14.6 | for the desperate |
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- | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ1_M.gguf) | i1-IQ1_M | 16.0 | for the desperate |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_S.gguf) | i1-IQ2_S | 21.5 | |
@@ -57,7 +57,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 48.9 | |
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  | [PART 1](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 56.7 | practically like static Q6_K |
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-
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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/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ1_S.gguf) | i1-IQ1_S | 14.6 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ1_M.gguf) | i1-IQ1_M | 16.0 | mostly desperate |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-IQ2_S.gguf) | i1-IQ2_S | 21.5 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 48.9 | |
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  | [PART 1](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/FashionGPT-70B-V1.1-i1-GGUF/resolve/main/FashionGPT-70B-V1.1.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 56.7 | practically like static Q6_K |
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60
  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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