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Llama 2 7b Chat

meta

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The llama-2-7b-chat is a 7 billion parameter language model created by Meta, which is specifically designed for chat completions. It takes in a system prompt, individual prompt, and other parameters like top_p, temperature, max_new_tokens, and repetition_penalty to respond coherently, respectfully, and honestly like a human assistant. The model ensures safety of the content and refrains from producing harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Moreover, it avoids answering incoherent or nonsensical questions and shares accurate information only. The output from the model is a string of related words that form relevant sentences corresponding to the input query.

Use cases

The llama-2-7b-chat AI model, a powerful language model fine-tuned for chat completions, can potentially be applied in a variety of scenarios. In customer service, it can be leveraged to aid in automating responses to customer inquiries, providing helpful and respectful assistance in a chat format. Furthermore, the model could be used in developing a virtual personal assistant, providing users with detailed, intelligent, and informed responses to a wide range of prompts. In the field of online learning, this AI can be employed to guide users through various topics, effectively helping a learner acquire a new skill. Given its ability to provide detailed and comprehensive responses in a chat format, the model could be deployed as an interactive learning tool or a tutoring software. Finally, the AI's functionality could aid in the development of smart chatbots for e-commerce platforms to guide customers through the entire purchasing process, provide fashion advice or explain product details effectively.

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Pricing

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Creator Models

ModelCostRuns
Codellama 13b Python$?3,775
Llama 2 70b$?157,701
Omnivore$?247
Codellama 70b Instruct$?13,091
Codellama 34b$?9,519

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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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Paper LinkView on Arxiv

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Runs3,562,190
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Cost per Run$-
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