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vibethinker-3b

Lightweight 3B reasoning model optimized for math, code, and edge deployment

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About

VibeThinker-3B is a compact 3-billion parameter reasoning model fine-tuned from Qwen2.5-Coder, designed for math problem-solving, code generation, and complex instruction-following. Trained on GPQA datasets, it delivers strong reasoning performance while remaining small enough for edge deployment and resource-constrained environments. Ideal for developers building coding agents that need local inference without sacrificing reasoning capability.

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Integrations
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open-sourcecoding-agentpythonself-hostedcli