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Home » Zhipu Releases New Generation Open Source Model with 200 Tokens/Second Inference Speed

Zhipu Releases New Generation Open Source Model with 200 Tokens/Second Inference Speed

Seok Chen by Seok Chen
April 15, 2025
in AI
Reading Time: 1 min read
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In a significant advancement in artificial intelligence, Zhihu has unveiled its next-generation open-source language model, boasting a processing speed of up to 200 tokens per second. The new model aims to enhance the efficiency and performance of various applications that rely on natural language processing.

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Officials from Zhihu highlighted that this latest model represents a major leap in inference speed compared to its predecessors, making it highly suitable for real-time applications. The open-source nature of the model invites developers and researchers to integrate and adapt it for a wide range of uses, from chatbots to content generation and more.

This release positions Zhihu as a key player in the ongoing race to develop more powerful and efficient AI technologies. As organizations increasingly turn to AI solutions to streamline their operations and improve user experiences, the introduction of this high-speed model is expected to drive innovation across numerous sectors.

Experts anticipate that the increased inference speed will not only allow for swifter responses in interactive applications but also enable more complex tasks to be performed seamlessly, pushing the boundaries of what is possible with AI. As the field continues to evolve, Zhihu’s commitment to open-source development may facilitate collaboration and accelerate advancements in artificial intelligence technology.

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Seok Chen

Seok Chen

Seok Chen is a mass communication graduate from the City University of Hong Kong.

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