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Meet Hy4 preview, Tencent Hy Team’s new Mixture-of-Experts flagship model. Here’s what makes it interesting 👇 🧠 770B total parameters ⚡ 49B active parameters per token 📚 1 million-token context window 💻 Built for software engineering 📊 Designed for office productivity and analysis 🔬 Targeted at scientific research 🔓 Model weights released as open source That 1M-token context means Hy4 can work with huge amounts of information in a single session, including long documents, research papers, multiple files and large codebases. For developers, Tencent says Hy4 is designed to improve areas such as: 💻 Code understanding 🧩 Planning complex tasks 🐞 Debugging ✅ Verifying changes 🎨 Front-end development But it isn’t just another coding model. Hy4 is also being trained around real workplace tasks such as creating documents, spreadsheets and presentations, analysing data and equations, working with financial models, and tackling complex scientific research problems. 📈🧪 And importantly… Tencent has open-sourced it. 🔓 Developers can access the model weights and experiment with Hy4 through platforms including Hugging Face, with deployment support through tools such as vLLM and SGLang and an OpenAI-compatible API. So could this actually challenge the biggest frontier AI models? 👀 Potentially, but there’s an important catch. Tencent itself calls this an early preview and acknowledges known limitations, including the model sometimes reasoning for longer than necessary and over-verifying its own work. So this isn’t automatically a “GPT/Claude killer”. But a 770B open-source model with 49B active parameters and a 1M-token context window is another sign that the gap between proprietary frontier AI and open models is getting very interesting. 🚀 The open-source AI race is heating up fast. 🇨🇳 Tencent 🔥 Kimi 🧠 DeepSeek 🌍 Open-source models vs 🔒 Closed frontier AI And developers are getting more choice than ever. Would you actually run or build with Hy4 preview? 👇 Save this post because I’ll be covering more new AI models, tools and open-source releases. 🔖 #techserks #hy4 #tencent #opensourceai #artificialintelligence
Meet Hy4 preview, Tencent Hy Team’s new Mixture-of-Experts flagship model. Here’s what makes it interesting 👇 🧠 770B total parameters ⚡ 49B active parameters per token 📚 1 million-token context window 💻 Built for software engineering 📊 Designed for office productivity and analysis 🔬 Targeted at scientific research 🔓 Model weights released as open source That 1M-token context means Hy4 can work with huge amounts of information in a single session, including long documents, research papers, multiple files and large codebases. For developers, Tencent says Hy4 is designed to improve areas such as: 💻 Code understanding 🧩 Planning complex tasks 🐞 Debugging ✅ Verifying changes 🎨 Front-end development But it isn’t just another coding model. Hy4 is also being trained around real workplace tasks such as creating documents, spreadsheets and presentations, analysing data and equations, working with financial models, and tackling complex scientific research problems. 📈🧪 And importantly… Tencent has open-sourced it. 🔓 Developers can access the model weights and experiment with Hy4 through platforms including Hugging Face, with deployment support through tools such as vLLM and SGLang and an OpenAI-compatible API. So could this actually challenge the biggest frontier AI models? 👀 Potentially, but there’s an important catch. Tencent itself calls this an early preview and acknowledges known limitations, including the model sometimes reasoning for longer than necessary and over-verifying its own work. So this isn’t automatically a “GPT/Claude killer”. But a 770B open-source model with 49B active parameters and a 1M-token context window is another sign that the gap between proprietary frontier AI and open models is getting very interesting. 🚀 The open-source AI race is heating up fast. 🇨🇳 Tencent 🔥 Kimi 🧠 DeepSeek 🌍 Open-source models vs 🔒 Closed frontier AI And developers are getting more choice than ever. Would you actually run or build with Hy4 preview? 👇 Save this post because I’ll be covering more new AI models, tools and open-source releases. 🔖 #techserks #hy4 #tencent #opensourceai #artificialintelligence

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