Part 2/9:
Open models like Meta's LLaMa, Google's Gemma, and Qwen are becoming increasingly accessible. These models differ significantly in size, with some being quite manageable for running on consumer-grade hardware, and others, like DeepSeek R1, boasting over 600 billion parameters—the kind typically reserved for massive cloud infrastructures.
While most open models are smaller than their proprietary counterparts, this size variation influences their performance and use cases. Notably, smaller models tend to be more practical for local deployment, but their effectiveness in tasks like content generation or data analysis often remains surprisingly strong.