Llama 2 7b Chat

meta

llama-2-7b-chat

The llama-2-7b-chat is a 7 billion parameter language model developed by Meta. It's designed to generate text-based chat responses that are helpful, respectful, and honest. The model takes various inputs such as 'top_p', 'prompt', 'temperature', 'system_prompt', 'max_new_tokens', and 'repetition_penalty' to generate a tailored response. It is programmed to avoid providing harmful, unethical, racist, sexist, dangerous, or false information. The model's output is a string of text that forms a complete, coherent response to the input prompt, which can be up to 800 new tokens in length.

Use cases

The llama-2-7b-chat AI model, a massive language model that has been fine-tuned for chat completions, can be employed in a variety of sectors for multiple purposes. Its use cases span across industries, including customer service functions for businesses that require automatic, detailed, and high-quality responses to customer inquiries. It is also possible to deploy it in tutoring platforms as a study assisting tool that provides elaborate explanations to different subjects. Additionally, the AI can be utilized by fashion and lifestyle influencers or content creators to generate engaging and rich content that can draw and keep the interest of their audience. Furthermore, due to its adeptness at generating nuanced, socially aware, and positive responses, this model can be instrumental in areas like mental health support chatbots, creating conversational AI trainers, or for automatic dialogue generation in the video game industry.

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Pricing

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Creator Models

ModelCostRuns
Codellama 34b$?6,555
Ic_gan$?26,458
Llama 2 13b$?17,926
Llama 2 13b Chat$?1,592,213
Codellama 13b$?71,820

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Overview

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PropertyValue
Creatormeta
Model NameLlama 2 7b Chat
Description

A 7 billion parameter language model from Meta, fine tuned for chat complet...

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TagsText-to-Text
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

Popularity

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Runs366,633
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Cost per Run$-
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Average Completion Time-