Marcelbinz

Models by this creator

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Llama-3.1-Centaur-70B-adapter

marcelbinz

Total Score

86

The Llama-3.1-Centaur-70B-adapter is a foundation model of cognition developed by marcelbinz that can predict and simulate human behavior in any behavioral experiment expressed in natural language. It is a low-rank adapter that runs on a single 80GB GPU using the unsloth library. Similar models include the Meta-Llama-3.1-8B-bnb-4bit, which is a finetuned version of the Llama 3.1 model that runs 2.4x faster with 58% less memory using the Unsloth library. Model inputs and outputs Inputs Natural language prompts that describe behavioral experiments Outputs Predictions and simulations of human behavior in response to the input prompts Capabilities The Llama-3.1-Centaur-70B-adapter is designed to excel at predicting and simulating human behavior in any behavioral experiment expressed in natural language. It can be used to explore cognitive models and test hypotheses about human decision-making and cognition. What can I use it for? The Llama-3.1-Centaur-70B-adapter could be used for a variety of research and commercial applications related to human behavior and decision-making. For example, it could be used to simulate experiments in psychology, economics, or other social sciences, or to develop AI-powered assistants that can better understand and predict human behavior. The marcelbinz profile provides more information on the model's potential use cases. Things to try One interesting thing to try with the Llama-3.1-Centaur-70B-adapter would be to explore how it handles prompts that describe complex, multi-step behavioral experiments. Given its strong performance on simulating human behavior, it would be fascinating to see how it tackles more intricate cognitive tasks. Additionally, comparing its performance to that of similar models like the Meta-Llama-3.1-8B-bnb-4bit could yield valuable insights into the strengths and limitations of different approaches to modeling human cognition.

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Updated 11/3/2024