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John Posada

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reacted to ST-x-Tony's post with ❤️ about 1 month 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
liked a model about 1 month ago
ornith-ai/Ornith-1.0-397B
upvoted a paper 3 months ago
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
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