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RichardErkhov/Joaoffg_-_ELM-awq
Joaoffg_-_ELM-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
17
25% of all-time downloads
All-time downloads
68
Public
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903M
670 MB on disk
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0
Public
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.safetensors663 MB · 98%
How the weights are stored.
I32772M · 85%
From the Hugging Face model README
Quantization made by Richard Erkhov.
ELM - AWQ
license: llama2 language:
ELM is a community driven large language model tailored to the research and education needs of Erasmus University (EUR, Netherlands) students and staff.
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:
We hope that the ELM experience becomes a template for community driven, decentralized and purpuseful AI development and application.
The underlying language model is trained and fine-tuned on academic outputs from Erasmus University, such as scientific papers or student theses; Training and fine-tuning the model is a joint effort of students and staff, transparent for all parties involved; The prompt-response examples used to fine tune the model come from students and staff, not crowdsourcing services; Defining what is the "better" model output also comes from the perspective of research and education. 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.