WizardLM-13B-V1.0

Maintainer: WizardLMTeam

Total Score

71

Last updated 5/28/2024

🧠

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

WizardLM-13B-V1.0 is a large language model developed by the WizardLMTeam. It is a text-to-text model, meaning it can be used for a variety of natural language processing tasks such as text generation, summarization, and translation. The model is similar to other large language models like llava-13b-v0-4bit-128g, wizard-vicuna-13b, wizard-mega-13b-awq, Xwin-MLewd-13B-V0.2, and Llama-2-13B-Chat-fp16.

Model inputs and outputs

The WizardLM-13B-V1.0 model takes natural language text as input and generates natural language text as output. The model can be used for a variety of tasks, including:

Inputs

  • Natural language text, such as sentences, paragraphs, or documents

Outputs

  • Natural language text, such as generated responses, summaries, or translations

Capabilities

WizardLM-13B-V1.0 is a powerful language model that can be used for a variety of natural language processing tasks. The model can generate coherent and contextually relevant text, summarize long passages, and even translate between languages.

What can I use it for?

You can use WizardLM-13B-V1.0 for a variety of projects, such as chatbots, content generation, translation, and more. The model's capabilities make it a useful tool for businesses and individuals looking to automate or streamline natural language processing tasks. For example, you could use the model to generate product descriptions, write blog posts, or assist with customer service.

Things to try

To get the most out of WizardLM-13B-V1.0, you can try fine-tuning the model on your specific dataset or task, or experiment with different prompting strategies to see what works best for your use case. You can also try combining the model with other AI tools and technologies to create more sophisticated applications.



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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