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auto-patch README.md

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@@ -64,6 +64,7 @@ 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/EuroLLM-1.7B-GGUF/resolve/main/EuroLLM-1.7B.IQ3_S.gguf) | IQ3_S | 0.9 | beats Q3_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):
@@ -82,6 +83,6 @@ questions you might have and/or if you want some other model quantized.
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  I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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  me use its servers and providing upgrades to my workstation to enable
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- this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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  <!-- end -->
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/EuroLLM-1.7B-GGUF/resolve/main/EuroLLM-1.7B.IQ3_S.gguf) | IQ3_S | 0.9 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/EuroLLM-1.7B-GGUF/resolve/main/EuroLLM-1.7B.f16.gguf) | f16 | 3.4 | 16 bpw, overkill |
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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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  I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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  me use its servers and providing upgrades to my workstation to enable
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+ this work in my free time.
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  <!-- end -->