SHRIJAN KUMAR TIWARI's picture

🤝 Open to Collab

SHRIJAN KUMAR TIWARI

Shrijanagain

hugging-science

·

https://www.sktailabs.in

AI & ML interests

AI/ML Developer & AGI Architect | Software Engineer | Python, LangGraph, LangChain, SQL | 100x Engineer | Founder Of SKT AI LABS

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repliedto ST-x-Tony's post about 7 hours ago

Hello everyone, We are excited to share that SKT-NRS is now live on Hugging Face. We’ve developed a Neural Reasoning System (NRS) designed to enhance the capabilities of foundation models — giving them stronger reasoning, improved performance, and more reliable outputs across a wide range of tasks. Our goal is to bring meaningful quality improvements to both new and existing models. You’ll start seeing boosted versions of various models released here soon, each refined with our NRS approach. **What to Expect* ❤️‍🩹 Regular releases of Neural Reasoning-enhanced models Clear focus on better reasoning and overall model quality Ongoing improvements based on community feedback If you’d like to stay updated, feel free to follow this space — we’ll be posting the first boosted models very soon. **Community Requests** Have a specific model you’d like us to work on? Looking for improvements on an existing model, or have any other requests? We’re happy to hear from you. Please share your suggestions here: ## Community Requests → https://huggingface.co/spaces/SKT-NRS/README/discussions/1 **Thank you for your support! We look forward to building better models together.**

reacted to ST-x-Tony's post with ❤️ about 7 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

updated a dataset about 7 hours ago

SKT-NRS/NRS-DOCS

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published an article 3 months ago

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🌈 SKT AI LABS 🌈

Shrijanagain

•

Mar 30

• 3