πŸ‘€Ollama

Ollama is a platform specifically designed for local deployment, running, and managing large language models (like LLaMA). It adopts Docker-like operations, allowing non-professional users to easily manage and use these complex models without relying on cloud services and complex infrastructure configurations.

Features of Ollama:

  1. Independent Environment: Ollama provides a simple and convenient deployment method for large language models through Docker containers, effectively lowering technical barriers and saving users significant configuration time and effort.

  2. Lightweight and Scalability: The framework has low resource consumption and supports flexible configuration adjustments on demand, adaptable to projects and hardware environments of different scales.

  3. Pre-built Model Library: Includes a series of pre-trained models that users can use directly without training themselves.

  4. Multi-platform Support: Full support for macOS, Linux, and Windows systems, allowing users to use it seamlessly on any mainstream operating system.

  5. Command Line Tools: Provides a streamlined command-line interface to start services and supports custom environment variables to meet personalized needs.

chevron-rightStep1: Creating your organizationhashtag

chevron-rightStep 2: Inviting your teamhashtag

chevron-rightStep 3: Making your first posthashtag

chevron-rightStep 4: Publishing a posthashtag

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