Llama-2-7B-bf16-sharded

Maintainer: TinyPixel

Total Score

71

Last updated 5/28/2024

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PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

The Llama-2-7B-bf16-sharded is a text-to-text AI model created by TinyPixel. It is similar to other LLaMA-based models like the Llama-2-13B-Chat-fp16 by TheBloke, the LLaMA-7B by nyanko7, and the medllama2_7b by llSourcell.

Model inputs and outputs

The Llama-2-7B-bf16-sharded model takes text-based inputs and generates text outputs. It can handle a variety of text-based tasks, including natural language processing, generation, and understanding.

Inputs

  • Text-based prompts or queries

Outputs

  • Generated text
  • Responses to prompts or queries

Capabilities

The Llama-2-7B-bf16-sharded model is capable of a range of text-based tasks, including language generation, language understanding, and text summarization. It can be used for applications such as chatbots, content creation, and question-answering systems.

What can I use it for?

The Llama-2-7B-bf16-sharded model can be used for a variety of applications, such as building chatbots, automating content creation, and powering question-answering systems. Developers and researchers can explore using this model for their own projects by checking out the TinyPixel's profile page.

Things to try

With the Llama-2-7B-bf16-sharded model, you can experiment with different types of text-based tasks, such as generating creative stories, summarizing long documents, or answering complex questions. The model's versatility allows for a wide range of potential use cases, so it's worth exploring how it might fit into your own projects or research.



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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