ChatDoctor

Maintainer: zl111

Total Score

137

Last updated 4/28/2024

📶

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

ChatDoctor is a language model developed by maintainer zl111. Similar models include jais-13b-chat, vcclient000, LLaMA-7B, evo-1-131k-base, and VoiceConversionWebUI. These models share some underlying architecture and capabilities, though the exact details are not provided.

Model inputs and outputs

ChatDoctor is a text-to-text model, meaning it takes text as input and generates text as output. The exact nature of the inputs and outputs is not specified, but the model is likely capable of understanding and generating natural language text on a variety of topics.

Inputs

  • Text input

Outputs

  • Generated text

Capabilities

ChatDoctor is a language model that can understand and generate natural language text. It may be capable of tasks such as language translation, text summarization, and question answering, though the specific capabilities are not detailed.

What can I use it for?

ChatDoctor could potentially be used for a variety of applications that involve natural language processing, such as chatbots, content generation, and language learning. The model's capabilities may make it useful for projects or companies that require text-based interaction or content production. However, the exact use cases are not specified.

Things to try

Users could experiment with ChatDoctor to see how it performs on different language tasks, such as generating coherent and relevant text, answering questions, or summarizing information. The model's behavior and outputs may provide insights into its underlying capabilities and limitations.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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