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Summary: This is a summary of an article originally published by Red Hat Blog. Read the full original article here →
Open source AI is more exciting than ever, offering a growing number of AI models to choose from. There are reasoning-heavy architecture options like DeepSeek and Kimi K2, more versatile options like the highly-adopted Qwen family, and the specialized, edge-ready Granite 4 from IBM. Having this many options is great news, but it can make users feel paralysis by analysis when trying to decide which model fits their project best.For many organizations, the challenge is no longer finding an open source model, but identifying which will perform best given their specific constraints, whether that i
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