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auto-patch README.md

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@@ -3,9 +3,10 @@ base_model: PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct
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  datasets:
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  - MarkrAI/KoCommercial-Dataset
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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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  quantized_by: mradermacher
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  tags:
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  - llama
@@ -48,7 +49,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Waktaverse-Llama-3-KO-8B-Instruct-GGUF/resolve/main/Waktaverse-Llama-3-KO-8B-Instruct.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Waktaverse-Llama-3-KO-8B-Instruct-GGUF/resolve/main/Waktaverse-Llama-3-KO-8B-Instruct.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
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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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  datasets:
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  - MarkrAI/KoCommercial-Dataset
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  language:
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+ - ko
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  - en
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  library_name: transformers
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+ license: llama3
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  quantized_by: mradermacher
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  tags:
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  - llama
 
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  | [GGUF](https://huggingface.co/mradermacher/Waktaverse-Llama-3-KO-8B-Instruct-GGUF/resolve/main/Waktaverse-Llama-3-KO-8B-Instruct.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Waktaverse-Llama-3-KO-8B-Instruct-GGUF/resolve/main/Waktaverse-Llama-3-KO-8B-Instruct.Q8_0.gguf) | Q8_0 | 8.6 | fast, best 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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