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Tony volt

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liked a model about 23 hours ago
SKT-NRS/NRS_QWEN_MYTHOS_1M
reacted to theirpost with ❤️ about 23 hours ago
Hello AI Community! 👋 We are thrilled to announce the release of **NRS_QWEN_MYTHOS_1M**, a high-performance reasoning model built on the powerful **Qwen 3.5 9B** base. At **SKT AI LABS**, we’ve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do. 🔥 **Why this model is a Game-Changer:** ✅ **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting. ✅ **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling). ✅ **Advanced Thinking Mode:** Native `<think>` tags for step-by-step Chain-of-Thought reasoning. ✅ **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction. ✅ **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090). 🛠️ **Technical Highlights:** * **Base:** Qwen 3.5 9B * **Tuning:** NRS Specific Tuning high-quality samples. * **License:** NRS DOCS Whether you are a developer building coding agents, a researcher dealing with long-context data, or just someone who loves deep reasoning, this model is built for you. 👇 **Try it now on Hugging Face:** https://huggingface.co/SKT-NRS/NRS_QWEN_MYTHOS_1M
posted an update about 23 hours ago
Hello AI Community! 👋 We are thrilled to announce the release of **NRS_QWEN_MYTHOS_1M**, a high-performance reasoning model built on the powerful **Qwen 3.5 9B** base. At **SKT AI LABS**, we’ve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do. 🔥 **Why this model is a Game-Changer:** ✅ **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting. ✅ **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling). ✅ **Advanced Thinking Mode:** Native `<think>` tags for step-by-step Chain-of-Thought reasoning. ✅ **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction. ✅ **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090). 🛠️ **Technical Highlights:** * **Base:** Qwen 3.5 9B * **Tuning:** NRS Specific Tuning high-quality samples. * **License:** NRS DOCS Whether you are a developer building coding agents, a researcher dealing with long-context data, or just someone who loves deep reasoning, this model is built for you. 👇 **Try it now on Hugging Face:** https://huggingface.co/SKT-NRS/NRS_QWEN_MYTHOS_1M
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Technical University of Munich's profile picture Open-Source AI Meetup's profile picture TorchGeo's profile picture Hugging Science's profile picture SKT AI LABS's profile picture SKT-DATASETS-NRS's profile picture