StableBeluga2

Maintainer: stabilityai

Total Score

884

Last updated 5/27/2024

🛠️

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

Stable Beluga 2 is a Llama2 70B model finetuned by Stability AI on an Orca-style dataset. It is part of a family of Beluga models, with other variants including StableBeluga 1 - Delta, StableBeluga 13B, and StableBeluga 7B. These models are designed to be highly capable language models that follow instructions well and provide helpful, safe, and unbiased assistance.

Model inputs and outputs

Stable Beluga 2 is an autoregressive language model that takes text as input and generates text as output. It can be used for a variety of natural language processing tasks, such as text generation, summarization, and question answering.

Inputs

  • Text prompts

Outputs

  • Generated text
  • Responses to questions or instructions

Capabilities

Stable Beluga 2 is a highly capable language model that can engage in open-ended dialogue, answer questions, and assist with a variety of tasks. It has been trained to follow instructions carefully and provide helpful, safe, and unbiased responses. The model performs well on benchmarks for commonsense reasoning, world knowledge, and other important language understanding capabilities.

What can I use it for?

Stable Beluga 2 can be used for a variety of applications, such as:

  • Building conversational AI assistants
  • Generating creative writing or content
  • Answering questions and providing information
  • Summarizing text
  • Providing helpful instructions and advice

The model's strong performance on safety and helpfulness benchmarks make it well-suited for use cases that require a reliable and trustworthy AI assistant.

Things to try

Some interesting things to try with Stable Beluga 2 include:

  • Engaging the model in open-ended dialogue to see the breadth of its conversational abilities
  • Asking it to provide step-by-step instructions for completing a task
  • Prompting it to generate creative stories or poems
  • Evaluating its performance on specific language understanding benchmarks or tasks

The model's flexibility and focus on safety and helpfulness make it a compelling choice for a wide range of natural language processing 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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