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Apertus 1.5

LLMsAI Models & LLMsOpen Source · Web

Apertus 1.5 is a family of multilingual, multimodal language models designed to support a wide range of languages and contexts. It offers open-source access and improved reasoning capabilities, making it suitable for diverse AI applications.

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Apertus 1.5 screenshot
Apertus 1.5 screenshot

Apertus 1.5 is a series of advanced language models developed to enhance multilingual and multimodal AI capabilities. With models featuring 8 billion and 70 billion parameters, Apertus 1.5 supports a wide range of languages and can handle contexts up to 262,144 tokens. This makes it highly versatile for various applications, from text generation to complex reasoning tasks.

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The models are built on a decoder-only transformer architecture and have been pretrained with a significant amount of data, including a multimodal mix of 4 trillion tokens for the 8B model and 2 trillion tokens for the 70B model. This extensive training allows Apertus 1.5 to process and generate text from images, audio, and text inputs, offering developers new possibilities for creating innovative applications.

Apertus 1.5 is designed with responsible development in mind, respecting data owners' opt-out consent and employing methods to prevent memorization of training data. The models are fully open, with open weights, data, and training details available to the public, ensuring transparency and accessibility.

The models also introduce a 'thinking mode' that enhances their reasoning capabilities, allowing for more accurate and contextually aware responses. This feature, combined with improved instruction-following and tool-use capabilities, makes Apertus 1.5 a powerful tool for developers looking to integrate advanced AI functionalities into their projects.

Deployment of Apertus 1.5 is supported in open-source frameworks like Transformers and vLLM, with detailed instructions available for getting started. The models are available for use in both desktop and cloud environments, providing flexibility for various deployment scenarios.

  • CategoryAI Models & LLMs
  • Pricing ModelOpen Source
  • DeploymentCloud, Self-hosted
  • PlatformsWeb

  • Multilingual support

  • Multimodal input processing

  • Open-source access

  • Long context handling

  • Improved reasoning capabilities

  • Enhanced instruction-following

  • Tool-use integration

  • Responsible data handling

  1. Access model page: Visit the Apertus 1.5 page on Hugging Face

  2. Authenticate: Log in or sign up to access the model

  3. Configure: Set up the model parameters and environment

  4. Send prompts: Input text, image, or audio for processing

  5. Fine-tune: Adjust model settings for specific tasks

  • Multilingual Text Generation
  • Multimodal Content Creation
  • Advanced Reasoning Tasks
  • Instruction Following
  • Tool Integration

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