tencent

ContextPilot-14B is a Qwen3-14B checkpoint that teaches language-model agents proactive context management via fine-grained reinforcement learning for long-horizon tasks.

Tencent has released Hy4 Preview, an open-weight text-only large language model with 770B total parameters, 49B active parameters, and a 1M token context window, featuring reasoning capabilities with 'high' and 'no_think' effort levels.

Tencent has released Tencent Hy4 preview, an open-source large language model with 770B parameters and over 1M token context, designed for productivity tasks in coding, office work, and scientific research.

Tencent has compressed the Hy4-preview model from 1.5TB to about 200GB in GGUF format while maintaining approximately 98% of its performance.

Tencent AI has announced the Hy4 preview model with 770B total parameters, 49B active parameters, 1M context, and open weights, marking a significant update in the competitive Chinese AI landscape.

Tencent Hy4 Preview leads on SWE-bench Pro with 770B total parameters, 49B active, and 1M context length, marking their biggest generational leap as an open weights model competing against frontier AI.

Tencent's Hy4 Preview is a 770B open-source MoE model with 1M context, designed for autonomous handling of coding, game development, and complex document analysis.

Tencent has previewed full benchmarks for its Hy4 model, providing detailed performance assessments and insights into its capabilities.

Tencent has released the Hy4 preview version, suggesting to maintain a stable release rhythm.

Tencent Hy announces the preview of Hy4, a 770B parameter open-source AI model built for productivity with a 1M context length.

Tencent releases Hy4-preview, a new Mixture-of-Experts flagship AI model with 770B total parameters and 49B activated per token, featuring advanced techniques like Gated DeepSeek Sparse Attention and identity Hyper-Connections.

WeMM-Embedding is a family of universal multimodal embedding models developed by Tencent, achieving state-of-the-art performance in retrieval and recommendation tasks for WeChat applications, with variants in 2B, 4B, and 9B parameters released publicly.

The tweet highlights DeepSeek-V4-Flash running at 5.71 tokens per second on a Mac M5 Pro, emphasizing advancements in local AI inference on consumer hardware, with a mention of Tencent's open-source Palm-Infra for Apple Silicon optimization.

Tencent has begun gray testing its new flagship AI model, Hunyuan Hy4, which is labeled as an expert-level model with tool usage capabilities in the Tencent Yuanbao App.

Tencent has open-sourced AuK, a 1.5B foundation model for speech generation and editing that supports zero-shot TTS, content editing, and more through a unified natural-language instruction interface.

UI-Mate-27B is an open-weight foundation GUI agent from Tencent that performs long-horizon computer tasks using live screenshots and demonstration-guided adaptation.

EVIE-Preview-4.5B is a state-of-the-art multilingual Visual Document Retrieval model from Tencent that uses ColBERT-style late interaction and achieves leading performance on ViDoRe benchmarks with 128-dimensional token embeddings.

Tencent announced WorldClaw, a new 3D generation model showcased on the Hunyuan3D-WorldClaw page, with the community hoping for open weights.

Forbes reports that US AI data vendors Surge AI, Mercor, AfterQuery, and Turing are selling ~$500M/year in training data to Chinese labs Tencent, Alibaba, and ByteDance, despite also serving OpenAI and Anthropic.

Tencent reports that its Hy3-powered Hyra research agent assisted in settling a 50-year-old sum-difference problem in mathematics, with the paper published on arXiv.