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@@ -210,7 +210,7 @@ The model **Llama-3-SauerkrautLM-8b-Instruct** is a **joint effort** between **V
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  | Model | HF | EXL2 | GGUF | AWQ |
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  |-------|-------|-------|-------|-------|
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- | Llama-3-SauerkrautLM-8b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct) | coming soon | coming soon | coming soon |
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  ## Model Details
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  **SauerkrautLM-llama-3-8B-Instruct**
@@ -330,4 +330,5 @@ If you are interested in customized LLMs for business applications, please get i
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  We are also keenly seeking support and investment for our startups, VAGO solutions and Hyperspace where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.de/#Kontakt), [Hyperspace.computer](https://hyperspace.computer/)
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  ## Acknowledgement
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- Many thanks to [Meta](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for providing such valuable model to the Open-Source community
 
 
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  | Model | HF | EXL2 | GGUF | AWQ |
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  |-------|-------|-------|-------|-------|
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+ | Llama-3-SauerkrautLM-8b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct) | [Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-8b-Instruct-exl2) | [Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-8b-Instruct-GGUF) | coming soon |
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  ## Model Details
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  **SauerkrautLM-llama-3-8B-Instruct**
 
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  We are also keenly seeking support and investment for our startups, VAGO solutions and Hyperspace where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.de/#Kontakt), [Hyperspace.computer](https://hyperspace.computer/)
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  ## Acknowledgement
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+ Many thanks to [Meta](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for providing such valuable model to the Open-Source community.
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+ Also many thanks to [bartowski](https://huggingface.co/bartowski) for super fast quantification of our Model in GGUF and EXL format.