AI - EleutherAI GPT-Neo-2.7B
Advancing large-scale language model research through cutting-edge developments like GPT-Neo-2.7B and collaboration in the Hugging Face community.
- Name
- EleutherAI GPT-Neo-2.7B -https://huggingface.co/EleutherAI/gpt-neo-2.7B
- Last Audited At
About EleutherAI GPT-Neo-2.7B
EleutherAI GPT-Neo-2.7B is a cutting-edge AI model developed by the EleutherAI team, based on Hugging Face's Transformers library. This model is trained on The Pile, an 800GB diverse text dataset, and is available for various natural language processing tasks such as text generation and causal language modeling.
The EleutherAI team uses PyTorch, JAX, Rust, and Safetensors for their research and development efforts. They have also contributed to the open-source community by releasing their large-scale model under the name GPT-Neo-2.7B. This model has been used in various projects within the Hugging Face Spaces platform, including text generation, paraphrasing, story writing, and others.
EleutherAI's mission is to advance the state-of-the-art in AI research, focusing on large-scale language models. Their notable achievement includes the creation of The Pile dataset and the development of GPT-Neo-2.7B model. They are actively involved in the Hugging Face community, contributing to projects like open_llm_leaderboard, GTBench, and others.
EleutherAI's work demonstrates a commitment to advancing AI technology and pushing the boundaries of what is possible with large-scale language models. Their collaboration with other organizations and individuals within the Hugging Face community highlights their dedication to open-source innovation.
