llama-2-13b-chat

Maintainer: meta

Total Score

4.2K

Last updated 5/27/2024
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Model overview

llama-2-13b-chat is a 13 billion parameter language model from Meta, fine-tuned for chat completions. It is part of the larger LLaMA family of models developed by Meta. Similar models in the LLaMA lineup include the llama-2-7b-chat, a 7 billion parameter chat-focused model, and the larger llama-2-70b with 70 billion parameters.

Model inputs and outputs

llama-2-13b-chat takes in a text prompt and generates a response. The model is optimized for conversational interactions, so the prompts and outputs tend to be more natural language oriented compared to some other large language models.

Inputs

  • Prompt: The text prompt to be completed by the model.
  • System Prompt: An optional system prompt that helps guide the model's behavior.
  • Parameters: Various decoding parameters like temperature, top-k, and top-p that control the randomness and quality of the generated text.

Outputs

  • Generated Text: The text generated by the model in response to the input prompt.

Capabilities

llama-2-13b-chat can engage in open-ended dialogue, answer questions, and generate human-like text on a variety of topics. It performs well on tasks like summarization, translation, and creative writing. The model's conversational abilities make it well-suited for chatbot and virtual assistant applications.

What can I use it for?

With its strong language understanding and generation capabilities, llama-2-13b-chat can be used for a wide range of applications, from customer service chatbots to creative writing assistants. Companies could potentially integrate the model into their products and services to enhance user experiences through more natural and engaging interactions.

Things to try

Try providing the model with prompts that encourage it to take on different personas or perspectives. See how its responses change when you give it a specific goal or task to accomplish. Experiment with various decoding parameters to find the right balance of creativity and coherence for your use case.



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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