Wes Higbee

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https://weshigbee.com

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liked a model 3 days ago

deepreinforce-ai/Ornith-1.0-35B

liked a dataset 3 days ago

Qwen/AgentWorldBench

reacted to ST-x-Tony's post with ❤️ 3 days 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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liked a model 3 days ago

deepreinforce-ai/Ornith-1.0-35B

Text Generation • 665k • Updated 4 days ago • 38.9k • • 229

liked a dataset 3 days ago

Qwen/AgentWorldBench

Viewer • Updated 6 days ago • 2.17k • 1.17k • 53

reacted to ST-x-Tony's post with ❤️ 3 days ago

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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 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:**
SKT-NRS/NRS_QWEN_MYTHOS_1M