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--- |
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license: llama2 |
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language: |
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- en |
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- nl |
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tags: |
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- academic |
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- university |
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--- |
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# Model Card for the Erasmian Language Model |
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ELM is a community driven large language model tailored to the research and education needs of Erasmus University (EUR, Netherlands) students and staff. |
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The model draws inspiration from ChatGPT and Llama in terms of architecture, but it aims to be privacy sensitive, environmentally conscious, and from and for the Erasmus community. Here are a few key points of ELM: |
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We hope that the ELM experience becomes a template for community driven, decentralized and purpuseful AI development and application. |
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## Model Details |
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### Model Description |
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The underlying language model is trained and fine-tuned on academic outputs from Erasmus University, such as scientific papers or student theses; |
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Training and fine-tuning the model is a joint effort of students and staff, transparent for all parties involved; |
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The prompt-response examples used to fine tune the model come from students and staff, not crowdsourcing services; |
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Defining what is the "better" model output also comes from the perspective of research and education. |
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The true richness of ELM lies in the way its training data is generated. What is the "state-of-the-art" model may change quickly, but quality data will maintain its relevance and ensure that ELM and its future iterations serve the needs of the community that nurtured it. |
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- **Developed by:** João Gonçalves, Nick Jelicic |
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- **Funded by [optional]:** Convergence AI and Digitalization, Erasmus Trustfonds |
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- **Model type:** Llama-2 Instruct |
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- **Language(s) (NLP):** English, Dutch |
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- **License:** Llama2 |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/Joaoffg/ELM |
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- **Paper:** https://arxiv.org/abs/2408.06931 |
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- **Demo:** https://huggingface.co/spaces/Joaoffg/Joaoffg-ELM |
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