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Meta LLaMA 3 8B Instruct

  • Context Window: 8,000
  • TPM: 300,000
  • RPM: 800
  • Embedding Size: NA
Attributes

Text summarization, Text classification, Sentiment analysis

Meta LLaMA 3 8B Instruct

Meta LLaMA 3 8B Instruct is a highly efficient large language model tailored for use in environments with limited computational resources. This model is designed to facilitate the development and deployment of generative AI applications on edge devices, where computational power and memory may be constrained. Despite its optimized size, it delivers robust performance for various text-based tasks and is well-suited for scenarios requiring faster training times and efficient resource utilization.

Part of the Meta LLaMA 3 series, this model supports English and is intended for both commercial and research purposes. It is particularly effective for applications involving text summarization, classification, and sentiment analysis, making it a versatile tool for developers and researchers seeking to leverage AI in resource-constrained settings. Fine-tuned chat models are also available, optimized for conversational AI applications to enhance user interactions.

Supported Use Cases:

  • Text Summarization
  • Text Classification
  • Sentiment Analysis

Meta LLaMA 3 8B Instruct offers a powerful and accessible solution for AI development in constrained environments, providing essential capabilities for a range of text-based tasks while ensuring efficient use of resources.

CogniTech AI Credits

Below you will find all supported platforms and the related CogniTech AI Credits costs.

AWS Bedrock Credits

Region Context TPM RPM Input Credits Output Credits
Region Context TPM RPM Input Credits Output Credits
us-west-2 8,000 300,000 800 0.039 / 1000 tokens 0.078 / 1000 tokens
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