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posted an update 1 day ago

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​⚡ Experience the Speed: Vedika 4.1 Flash is Here!
​We are pushing the limits of AI inference with our newest model: Vedika 4.1 Flash. Engineered for ultra-low latency without compromising on advanced reasoning, it is the perfect solution for real-time applications and complex, long-horizon coding tasks.
​✨ Why Vedika 4.1 Flash?
​Blazing Fast Inference: Instant responses for real-time AI agents.
​Massive Context: Process up to 1M tokens effortlessly.
​Open for Developers: 100% free API access for the community.
​You can test the raw speed of Vedika 4.1 Flash right now using our live API endpoint!
​📺 Don't miss any updates!
Subscribe to our official YouTube channel for upcoming tutorials, model drops, and deep dives into how to build with Vedika AI:
👉 https://youtube.com/@vedika-advanced-ai?si=1D-HZ26p_MHzUUsh
​✨ A Product of Veda Labs

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reacted to danielhanchen's post with 🔥 11 days ago

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5952

DeepSeek-V4 can now run locally with Unsloth GGUFs! 🐳

Run lossless DeepSeek-V4-Flash on 168GB RAM or
3-bit works on 110GB Mac, RAM, VRAM setups.

Run via Unsloth Studio or llama.cpp.

GGUF: unsloth/DeepSeek-V4-Flash-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4

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reacted to ST-x-Tony's post with 👍❤️ 22 days ago

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7149

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:**
SKT-NRS/NRS_QWEN_MYTHOS_1M

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