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BLOOM

Model-Hub

BLOOM is a multilingual AI model trained on 46 languages and 13 programming languages. Explore its features, use cases, and documentation.

Best for:

  • Generate Text in Multiple Languages
  • Perform Causal Language Modeling
  • Classify Text Content
  • Token Classification Tasks
  • Answer Questions Based on Input
Website
Pricing: Open-Source

Key Features

Multilingual Support
Trained on 46 languages and 13 programming languages, enabling text generation across diverse linguistic contexts.
Causal Language Modeling
Supports next token prediction for generating coherent and contextually relevant text.
Open Source Access
Available on Hugging Face, allowing users to access, modify, and contribute to the model's development.
Variety of Model Sizes
Offers multiple versions, from bloom-560m to bloom-176b, catering to different performance and resource requirements.

Who should NOT use BLOOM

  • Requires Significant Computational Resources
  • No Code Review or Testing Automation
  • Limited Specialized Capabilities

Frequently Asked Questions

What languages does BLOOM support?

BLOOM supports 46 languages and 13 programming languages.

Is BLOOM open source?

Yes, BLOOM is open source and available on Hugging Face.

How can I use BLOOM for text generation?

You can use BLOOM for text generation by leveraging its causal language modeling capabilities through Hugging Face's documentation and examples.

What are the different versions of BLOOM?

BLOOM is available in various versions, including bloom-560m, bloom-1b1, bloom-1b7, bloom-3b, bloom-7b1, and bloom (176B parameters).

Can I deploy BLOOM?

BLOOM is not directly deployable, but it can be used with Hugging Face's tools and frameworks for deployment.

Why developers choose BLOOM

  • Generate Text In Multiple Languages
  • Perform Causal Language Modeling
  • Classify Text Content
  • Token Classification Tasks
  • Answer Questions Based On Input

What makes BLOOM different

BLOOM is a multilingual AI model trained on 46 languages and 13 programming languages. Explore its features, use cases, and documentation.

How it compares

  • For a quick scan of competitors, check “Alternatives to BLOOM” below.
  • Pricing model: Open-Source.

Alternatives to BLOOM

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Civitai

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DeepMind Gopher

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Best for: Analyze Textual Data