Weโre excited to release NRS_QWEN_MYTHOS_1M โ a powerful reasoning model built on Qwen 3.5 9B! At SKT AI LABS, weโve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.
๐ฅ Why This Model is a Game-Changer: โ 100x Reasoning Capacity โ Exceptional deep logical thinking and complex problem-solving โ 1 Million Token Context โ Perfect for massive codebases, long documents, and multi-turn agentic workflows โ Advanced Thinking Mode โ Native <think> tags for true step-by-step Chain-of-Thought reasoning โ Tool-Use Ready โ Optimized for Python execution, Web Search, and self-correction โ Blazing Fast โ Runs smoothly on consumer GPUs like RTX 3090/4090
Whether youโre a developer building coding agents, a researcher working with long-context data, or someone who loves powerful reasoning โ this model is built for you.
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**, weโve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do.
๐ฅ **Why this model is a Game-Changer:**
โ **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting. โ **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling). โ **Advanced Thinking Mode:** Native tags for step-by-step Chain-of-Thought reasoning. โ **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction. โ **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090).
๐ ๏ธ **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.
We are excited to share that SKT-NRS is now live on Hugging Face. Weโve developed a Neural Reasoning System (NRS) designed to enhance the capabilities of foundation models โ 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. Youโll start seeing boosted versions of various models released here soon, each refined with our NRS approach.
**What to Expect* โค๏ธโ๐ฉน
Regular releases of Neural Reasoning-enhanced models Clear focus on better reasoning and overall model quality Ongoing improvements based on community feedback
If youโd like to stay updated, feel free to follow this space โ weโll be posting the first boosted models very soon.
**Community Requests**
Have a specific model youโd like us to work on? Looking for improvements on an existing model, or have any other requests? Weโre happy to hear from you. Please share your suggestions here:
โWe are thrilled to announce the launch of SKT-OMNI-CORPUS-2T, a massive-scale, high-quality dataset designed to power the next generation of Foundation Models (LLMs) from scratch. โDeveloped at SKT AI LABS, this corpus is not just a collection of data; itโs a mission to decentralize high-grade AI training for regional languages and global knowledge.
โ๐ Key Highlights:
โโขโข Massive Scale: Targeting a multi-terabyte architecture for 2T-level tokenization.
โขโข โPure Quality: Curated from 500+ Elite Sources
โขโข โStructured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-๐ป series) for seamless distributed training.
โ๐ค Open for Collaboration!
โWe are looking for AI researchers, CUDA engineers, and data scientists to join us in this journey of building Project Surya and the ST-X Series models. Whether it's optimization, custom tokenization, or architecture designโletโs build the future together.