mpt-7b-chat
Maintainer: mosaicml - Last updated 5/28/2024
Property | Value |
---|---|
Run this model | Run on HuggingFace |
API spec | View on HuggingFace |
Github link | No Github link provided |
Paper link | No paper link provided |
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Model Overview
mpt-7b-chat
is a chatbot-like model for dialogue generation. It was built by fine-tuning MPT-7B on several datasets, including ShareGPT-Vicuna, HC3, Alpaca, HH-RLHF, and Evol-Instruct. This allows the model to engage in more natural, open-ended dialogue compared to the base MPT-7B model.
Model Inputs and Outputs
Inputs
- Text prompts that the model will use to generate a response.
Outputs
- Generated text responses that continue the dialogue based on the input prompt.
Capabilities
mpt-7b-chat
can engage in freeform dialogue on a wide range of topics. It demonstrates strong language generation abilities and can provide detailed, contextual responses. For example, it can discuss programming concepts, generate gourmet meal recipes, and even roleplay as characters from fiction.
What Can I Use It For?
The mpt-7b-chat
model could be used to power chatbots, virtual assistants, or other applications that require natural language interaction. Its ability to continue a conversation and provide relevant, engaging responses makes it well-suited for customer service, education, entertainment, and other applications where users need to interact with an AI system.
Things to Try
One interesting aspect of mpt-7b-chat
is its ability to maintain context and persona over multiple turns of a conversation. Try providing the model with a detailed system prompt that establishes its identity and goals, then see how it responds to a series of follow-up questions or requests. This can help you explore the model's conversational capabilities and understand how it uses the provided context to inform its responses.
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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