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title: README
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At VAGO Solutions, we pursue **scientifically grounded approaches** to provide **specialized fine-tuned language models** suitable for various domains and use cases. At the heart of our corporate philosophy lies the seamless integration of science and practice. We are convinced that our combination of scientifically grounded methodologies and practical expertise leads to excellent language models for use in small and medium-sized enterprises. For the German-speaking region, we take it upon ourselves to bridge the gap between theory and practice and advance generative AI innovations with evidence-based approaches, addressing the challenges of small and medium-sized businesses and leading to sustainable success. This **dynamic interplay between science and practice** is not only the key to our growth but also an opportunity to positively impact the world around us through artificial intelligence 

## Most Popular SauerkrautLM Models

| Model | HF    | GPTQ  | EXL | GGUF  | AWQ  |
|-------|-------|-------|-------|-------|-------|
| Llama-3.1-SauerkrautLM-70b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct) | coming soon |coming soon | [Link](https://huggingface.co/mradermacher/Llama-3.1-SauerkrautLM-70b-Instruct-GGUF) | [Link](https://huggingface.co/WisPerMed/Llama-3.1-SauerkrautLM-70b-Instruct-AWQ) |
| Llama-3-SauerkrautLM-70b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct) | [Link](https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ) |coming soon | [Link](https://huggingface.co/redponike/Llama-3-SauerkrautLM-70b-Instruct-GGUF) | [Link](https://huggingface.co/tresiwalde/Llama-3-SauerkrautLM-70b-Instruct-AWQ) |
| SauerkrautLM-Mixtral-8x7B-Instruct  | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct) | [Link](https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GPTQ) | coming soon |[Link](https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GGUF) | [Link](https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-AWQ) |
| SauerkrautLM-14b-v2-SFT | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-SFT) | coming soon | coming soon | coming soon | coming soon |
| SauerkrautLM-14b-v2-DPO | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO) | coming soon | coming soon | coming soon | coming soon |
| SauerkrautLM-Nemo-12b-Instruct  | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct) | coming soon | coming soon | [Link](https://huggingface.co/QuantFactory/SauerkrautLM-Nemo-12b-Instruct-GGUF) | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct-awq) |
| SauerkrautLM-gemma-2-9b-it  | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-9b-it) | coming soon | coming soon | [Link](https://huggingface.co/QuantFactory/SauerkrautLM-gemma-2-9b-it-GGUF )| [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-9b-it-awq) |
| Llama-3.1-SauerkrautLM-8b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) | coming soon |coming soon | coming soon | [Link](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct-awq) |
| Llama-3-SauerkrautLM-8b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct) | coming soon |[Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-8b-Instruct-exl2) | [Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-8b-Instruct-GGUF) | [Link](https://huggingface.co/mayflowergmbh/Llama-3-SauerkrautLM-8b-Instruct-AWQ) |
| SauerkrautLM-gemma-2-2b-it  | [Link](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-2b-it) | coming soon | coming soon | coming soon | coming soon |

## Why SauerkrautLM? 

For many months now, the open-source LLM community has been predominantly shaped by English-speaking language models, often centered around various animal themes like llamas, alpacas, and vicuñas. It's evident that English-speaking models will continue to play a significant role in the open-source landscape, given the language's widespread global acceptance. However, we firmly believe that a European response to this should be about creating something new, unique, and authentically European. Something that can become a shared cultural touchstone for all of us. "What could that be?" we pondered, and the immediate answer that came to us was: food. Europe boasts a rich and renowned culinary heritage that's celebrated worldwide. Thus, the idea took root in our minds that Europe could pioneer the development of delectable LLM dishes and meals using diverse ingredients from across the continent. To kickstart this venture, we contemplated a dish close to our hearts and familiar to everyone in Germany. This is why we've named our model series 'SauerkrautLM.' It's a dish we adore, one that harmonizes well with other culinary traditions, and potentially serves as a key ingredient in a European response that deviates from the animal-themed open-source models. If you share our vision and passion, we extend an invitation to join us in preparing dishes that lay a solid foundation for generative AI throughout Europe!