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Openchat_3.5 Awq



The openchat_3.5-awq is a text-to-text model designed to generate textual output based on given prompts. The model uses a variety of parameters, such as top_k, top_p, temperature, max_new_tokens, presence_penalty and frequency_penalty, to control the specifics of the textual output. The prompts are structured as a conversation between a user and an assistant, and the model generates responses that are split into individual words. The example provided shows the model generating a poem about cheese, ultimately praising parmigiano reggiano.

Use cases

The openchat_3.5-awq model is a text-to-text AI model designed for language generation, particularly excelling in adapting to prompts given by the user. Due to its dynamic response abilities, it could be used in a number of applications where open-ended responses are required, such as conversational AI or chatbots. These could be seen in customer service scenarios, providing responses to customer queries in a high quality, personable manner. Additionally, it would have a significant role in content creation platforms, interpreting prompts and generating creative content, such as the example of writing poems about specific topics. Another intriguing use-case could be in tutoring or educational software applications, where it could generate answers or explanations to questions posed by learners. Lastly, it could also find utility in data analysis, with its ability to interpret prompts and produce summaries or insights from large volumes of data.



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Creator Models

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Stablecode Completion Alpha 3b 4k$?154
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Summary of this model and related resources.

Model NameOpenchat_3.5 Awq
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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