This model showcases the potential of resource-efficient fine-tuning of large language models using Spectrum Fine-Tuning. Here's a brief on the procedure:
Fine-tuning on German-English Data:
Utilized Spectrum Fine-Tuning, targeting 25% of the model's layers
Introduced the model to a unique German-English Sauerkraut Mix v2
Implemented a bespoke, precision-engineered fine-tuning approach
Sauerkraut Mix v2:
Premium Dataset for Language Models, focusing on German and English
Cutting-edge synthetic datasets created using proprietary, high-precision generation techniques
Objective and Results
The primary goal of this training was to demonstrate that with Spectrum Fine-Tuning targeting 25% of the layers, a 12 billion parameter model can significantly enhance the capabilities while using a fraction of the resources of the classic fine-tuning approach.
The model has substantially improved skills in German and English, as demonstrated by impressive benchmarks on the new Hugging Face leaderboard. At the same time, our fine-tuning improved skills in all other languages that Nemo can speak, showing inter-language effects in LLM performance.
Spectrum Fine-Tuning can efficiently enhance a large language model's capabilities in multiple languages while preserving the majority of its previously acquired knowledge.
Evaluation
AGIEVAL
SauerkrautLM-Nemo-12b-Instruct-AGIEVAL
GPT4ALL
SauerkrautLM-Nemo-12b-Instruct-GPT4ALL
TRUTHFULQA
SauerkrautLM-Nemo-12b-Instruct-TRUTHFULQA
OPENLEADERBOARD 2
SauerkrautLM-Nemo-12b-Instruct-OPENLEADERBOARD
MMLU 5-Shot
SauerkrautLM-Nemo-12b-Instruct-MMLU
Disclaimer
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Contact
If you are interested in customized LLMs for business applications, please get in contact with us via our website. We are also grateful for your feedback and suggestions.
Collaborations
We are also keenly seeking support and investment for our startup, VAGO solutions 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
Acknowledgement
Many thanks to Mistral AI for providing such a valuable model to the Open-Source community.
