by peft-internal-testing
Open source · 152k downloads · 0 likes
Opt 125M is a medium-sized language model designed to autonomously generate text and understand natural language instructions. It excels in tasks such as writing, summarization, and question answering while remaining accessible due to its compact size, which simplifies deployment. Its primary use cases include conversational assistance, content automation, and integration into applications requiring contextual understanding. The model stands out for its balance between performance and efficiency, providing a versatile solution for diverse needs without requiring excessive computational resources.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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