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Qwen 3: NEW Powerful Opensource Hybrid LLM! Beats Deepseek R1 (Fully Tested)

Alibaba's new Quen 3 series introduces advanced open-source AI models with significant parameter efficiency, enhanced capabilities, and global adaptability, positioning them as top contenders in AI performance benchmarks.

MAIN POINTS FROM TRANSCRIPT
  1. Quen 3 series includes a 235 billion and a 30 billion parameter model, both open-source.
  2. Models are optimized for 32K and 128K context lengths and released under Apache 2.0 license.
  3. The 235 billion model rivals top-tier models in coding, mathematics, and reasoning benchmarks.
  4. Quen 3 supports 119 languages and features a hybrid thinking mode for task adaptability.
TAKEAWAYS
  1. Quen 3 models drastically cut inference and training costs with only 10% active parameters.
  2. Enhanced reinforcement learning and agentic capabilities allow diverse task execution.
  3. The series showcases efficiency gains for scalable AI deployment.
  4. Users can interact with models via Quen's chatbot or locally install dense models.
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