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Taming the Beast in Google Colab: Running Llama 2 and Deepseek-r1:7b with Ollama
Ollama emerges as a powerful tool for running and managing large language models within Google Colab, offering a cost-effective and flexible alternative to traditional cloud-based LLM services. The ar
ticle demonstrates its practical application through case studies of Llama 2 and Deepseek-r1:7b models, highlighting their different capabilities in story generation tasks.

Reasons to Read -- Learn:

  • how to run powerful language models like Llama 2 and Deepseek-r1:7b for free using Ollama in Google Colab, potentially saving significant costs on cloud-based LLM services.
  • comparative strengths of two prominent LLMs, with Deepseek-r1:7b demonstrating superior planning and creativity in story generation while Llama 2 excels in straightforward narrative construction.
  • how to integrate Ollama with LangChain for building LLM-powered applications, giving you greater control over model configuration and deployment compared to external APIs.
  • 5 min readauthor: Frank Morales Aguilera
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