Hy 3D WorldClaw is out🤯 An agentic workflow that turns a text prompt into a large scale 3D open world. Every scene is freely explorable🌻, built from editable, game-ready 3D assets with real geometry and textures. actual meshes, not video or splats. Project page 👉

Hy-MT2 keeps gaining momentum. Since its open-source release in May: → 700K+ downloads 🌟 → Hy-MT2-1.8B reached #1# on the Hugging Face trending, with 30B-A3B reaching #4# 🥇 → 70+ verified product and project integrations 💻 → Broader Hy-MT ecosystem support across Apple MLX-LM, Microsoft ONNX Runtime, NVIDIA NeMo, LLaMA-Factory, and more 👯 → Real-world adoption, including real-time multilingual translation of livestream comments on Bilibili 📺 And now, Hy-MT2-30B-A3B is officially available in GGUF format—addressing one of the community’s most-requested deployment needs and making local inference easier. Ready to run Hy-MT2-30B-A3B locally? Try the new GGUF release: Explore Hy-MT2: HuggingFace： Modelscope： Github： #TencentHy# #HyMT2# #OpenSource#

🌍Introducing Hy ASR 3.0 preview, a speech recognition model from @TencentHunyuan built to understand, not just transcribe What we improved: - Cleaner on real-world audio: dialects, code-switching, and long-form content with less error accumulation over time - Context-aware correction: homophones and ambiguous phrases get resolved from context, not guessed in isolation - Hotword injection: drop in brand names, people, domain terms without retraining. Lowers integration cost for niche use cases - Built for noisy rooms: whisper, background noise, tricky acoustic conditions stay stable

We're open-sourcing Hy-MT1.5-1.8B-1.25bit — a 440MB translation model that runs fully offline on your phone, supports 33 languages, and outperforms Google Translate. At 1.8B parameters, it matches commercial translation APIs and 235B-scale models on standard benchmarks. By quantizing to 1.25-bit, memory drops from 3.3GB (FP16) to 440MB — 25% smaller and ~10% faster than prior 1.67-bit approaches, with no accuracy loss. Covers 33 languages, 5 dialects, and 1,056 translation directions including minority languages like Tibetan and Mongolian. Our translation model has won 30 first-place rankings in international MT competitions and is already deployed across multiple Tencent products.🏆 📲Demo APK (Android): 🤗Hugging Face:: 🔗GitHub: 📄Paper:

🔥 Meet Hy3 preview: Hy's most intelligent model yet, now open source. Best-in-class performance at its size. Built to be efficient and usable: ⭐ MoE architecture with fast and slow thinking. 295B total, 21B active, 256K context ⭐ Major improvements in context learning, complex reasoning and conversational abilities ⭐ Tested and integrated within Tencent's core AI products & businesses for better real-world usability ⭐ 40% inference efficiency boost. Best cost efficiency at its size Hy3 preview is now live on @OpenRouter , free for two weeks. API is also available on Tencent Cloud TokenHub. Learn more: Try it now.

🚀We’re excited to officially release Hy-Memory — a powerful memory plugin built specifically for long-term collaborative Agents like OpenClaw. More than a retrieval tool, it becomes your Agent’s true “Second Brain.” Powered by a 6-layer memory framework × System1/System2 dual system × three-layer evolutionary chain, Hy-Memory lets Agents remember durably, accurately, lightly, and understand you better. ➡️Solves memory fragmentation ➡️70%+ fewer memories ➡️45%+ higher info density per memory ➡️35% less token usage on ultra-long contexts ➡️20% faster memory updates. Upgrade your Agent’s memory today! 📷Project & Download: 📷 OpenClaw Docs:

🚀 Open-source upgrade unlocked. Tencent Hy-MT2 is now under Apache License 2.0 — maximum freedom for research, commercial use, fine-tuning, and derivatives. No strings attached.😎😎😎 Proud to push model weights back to the community. Our two variants are currently sitting at #1# and #4# on the Hugging Face trending leaderboard. Clone, fork, break things, ship feedback. The iteration loop is live.🔥 Let’s keep building the frontier together. #Tencent# #Hy# #HyMT2# #Apache2# #HuggingFace# #OpenSourceA#

Planning is where LLMs move from “saying” to “doing.” Tencent Hy, in collaboration with the Gaoling School of Artificial Intelligence at Renmin University of China, is excited to open-source PlanningBench - a scalable, verifiable framework for evaluating and training LLM planning capabilities. With PlanningBench, you get: ✅ 30+ real-world planning tasks ✅ Automated verification ✅ Evaluation and training support See how top-tier LLMs perform on PlanningBench 👇 Resources: arXiv: GitHub: HuggingFace: #PlanningBench# #TencentHunyuan# #OpenSource# 📷

OpenCode x Tencent Hy3 preview — free for 2 weeks Strongest in the Hy series - 256K context · reasoning · text only - 295B (A21B) - ☝️means it's built for strong performance at lower token cost; ur welcome

12 Chinese AI models made their World Cup predictions. ⚽ The World Cup Round of 32 lineup is out.🔥 The first leaderboard is in.👇 Tencent Hy went 29/32, ranking #1# among the 12 models after the Round of 32 was set. Now comes the harder test: whose predictions survive the knockout stage? #TencentHunyuan# #AI# #WorldCup#