mradermacher
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auto-patch README.md
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README.md
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@@ -4,6 +4,7 @@ datasets:
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- wenbopan/Fusang-v1
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- wenbopan/OpenOrca-zh-20k
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language:
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- en
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library_name: transformers
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license: mit
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@@ -32,7 +33,7 @@ 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/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ1_S.gguf) | i1-IQ1_S | 8.2 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ1_M.gguf) | i1-IQ1_M | 8.9 |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_XS.gguf) | i1-IQ2_XS | 11.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_S.gguf) | i1-IQ2_S | 11.6 | |
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@@ -53,7 +54,6 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q6_K.gguf) | i1-Q6_K | 28.9 | 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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- wenbopan/Fusang-v1
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- wenbopan/OpenOrca-zh-20k
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language:
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- zh
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- en
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library_name: transformers
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license: mit
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ1_S.gguf) | i1-IQ1_S | 8.2 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ1_M.gguf) | i1-IQ1_M | 8.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_XS.gguf) | i1-IQ2_XS | 11.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-IQ2_S.gguf) | i1-IQ2_S | 11.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Faro-Yi-34B-200K-i1-GGUF/resolve/main/Faro-Yi-34B-200K.i1-Q6_K.gguf) | i1-Q6_K | 28.9 | 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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