llama-2-70b

Maintainer: meta

Total Score

207

Last updated 5/19/2024
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Model overview

llama-2-70b is a base version of the Llama 2 language model, a 70 billion parameter model created by Meta. It is part of a family of Llama 2 models that also includes the llama-2-7b and llama-2-7b-chat models. The Llama 3 model family, which includes the meta-llama-3-70b and meta-llama-3-8b models, are the newer generation of large language models from Meta.

Model inputs and outputs

llama-2-70b is a language model that can generate human-like text based on a given prompt. It takes a text prompt as input and produces a continuation of that prompt as output.

Inputs

  • Prompt: The text prompt that the model will use to generate a continuation.
  • Max new tokens: The maximum number of new tokens the model should generate.
  • Min new tokens: The minimum number of new tokens the model should generate.
  • Temperature: A value that controls the randomness of the output, with higher values producing more random and diverse output.
  • Top k: The number of most likely tokens the model should consider when generating output.
  • Top p: The cumulative probability threshold the model should use when considering tokens to include in the output.
  • Stop sequences: A comma-separated list of sequences that should cause the generation to stop.

Outputs

  • Generated text: The continuation of the input prompt, generated by the model.

Capabilities

llama-2-70b is a large language model that can be used for a variety of text generation tasks, such as creative writing, conversational responses, and summarization. Its large size and strong performance make it a capable model for many natural language processing applications.

What can I use it for?

You can use llama-2-70b for a variety of text generation tasks, such as:

  • Creative writing: Generate fictional stories, poems, or other creative content.
  • Conversational responses: Use the model to generate natural-sounding responses in a dialogue.
  • Summarization: Condense long passages of text into concise summaries.
  • Content generation: Create articles, blog posts, or other written content.

The model's size and capabilities make it a powerful tool for a wide range of language-based applications. As with any large language model, it's important to carefully consider the ethical implications and potential misuses of the technology.

Things to try

Some interesting things to try with llama-2-70b include:

  • Experiment with different prompts and settings to see how the model's output changes.
  • Use the model to generate creative ideas or story plots that you can then develop further.
  • Explore the model's ability to summarize long passages of text or generate concise responses to open-ended questions.
  • Investigate how the model's output varies when you change the temperature, top k, or top p settings.

Remember to use the model responsibly and consider the potential ethical implications of your experiments.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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