Llama 2 is a collection of pretrained and fine-tuned large language models (LLM) ranging in scale from 7 billion to 70 billion parameters.

Meta's fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama 2 pretrained models are trained on 2 trillion tokens, and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations.

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Use Cases:

Fine-tuned models ideal for dialogue use cases and natural language tasks like question and answering and reading comprehension.

  • Assistant-like chat


  • Input: $0.00075/Price per 1,000 input tokens
  • Output: $0.00100/Price per 1,000 input tokens

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