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Shrijanagainย  published a bucket about 20 hours ago
WORKINGPLACE/Dis2
Shrijanagainย  updated a Space about 20 hours ago
WORKINGPLACE/README
Shrijanagainย  published a Space about 20 hours ago
WORKINGPLACE/README
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Shrijanagainย 
published a bucket about 20 hours ago
Shrijanagainย 
updated a Space about 20 hours ago
Shrijanagainย 
published a Space about 20 hours ago
Shrijanagainย 
posted an update 2 days ago
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111
๐Ÿš€ Big News for the AI Community! ๐Ÿ”ฅ

Weโ€™re excited to release NRS_QWEN_MYTHOS_1M โ€” a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weโ€™ve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.

๐Ÿ”ฅ Why This Model is a Game-Changer:
โœ… 100x Reasoning Capacity โ€” Exceptional deep logical thinking and complex problem-solving
โœ… 1 Million Token Context โ€” Perfect for massive codebases, long documents, and multi-turn agentic workflows
โœ… Advanced Thinking Mode โ€” Native <think> tags for true step-by-step Chain-of-Thought reasoning
โœ… Tool-Use Ready โ€” Optimized for Python execution, Web Search, and self-correction
โœ… Blazing Fast โ€” Runs smoothly on consumer GPUs like RTX 3090/4090

Technical Highlights:

Base: Qwen 3.5 9B
Tuning: NRS-specific high-quality reasoning data
Context: 1M Tokens (YaRN Scaling)
License: NRS DOCS

Whether youโ€™re 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.

๐Ÿ‘‰ Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M

Drop a comment: What will you build with it first? ๐Ÿ‘‡
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
ST-x-Tonyย 
posted an update 3 days ago
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7038
Hello AI Community! ๐Ÿ‘‹

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**, weโ€™ve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do.

๐Ÿ”ฅ **Why this model is a Game-Changer:**

โœ… **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting.
โœ… **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling).
โœ… **Advanced Thinking Mode:** Native tags for step-by-step Chain-of-Thought reasoning.
โœ… **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction.
โœ… **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090).

๐Ÿ› ๏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.

๐Ÿ‘‡ **Try it now on Hugging Face:**
SKT-NRS/NRS_QWEN_MYTHOS_1M
  • 1 reply
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ST-x-Tonyย 
posted an update 6 days ago
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Hello everyone,

We are excited to share that SKT-NRS is now live on Hugging Face.
Weโ€™ve 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. Youโ€™ll start seeing boosted versions of various models released here soon, each refined with our NRS approach.

**What to Expect* โค๏ธโ€๐Ÿฉน

Regular releases of Neural Reasoning-enhanced models
Clear focus on better reasoning and overall model quality
Ongoing improvements based on community feedback

If youโ€™d like to stay updated, feel free to follow this space โ€” weโ€™ll be posting the first boosted models very soon.

**Community Requests**

Have a specific model youโ€™d like us to work on? Looking for improvements on an existing model, or have any other requests?
Weโ€™re happy to hear from you. Please share your suggestions here:

## Community Requests โ†’ SKT-NRS/README#1

**Thank you for your support! We look forward to building better models together.**
  • 10 replies
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Shrijanagainย 
posted an update about 1 month ago
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2613
We are pleased to announce that the W-IMG Vision Dataset infrastructure is officially live.

The complete asset infrastructure is now accessible on Hugging Face for internal validation and architecture scaling targets.

Dataset Endpoint - sKT-Ai-Labs/W-IMG

#SovereignAI #ComputerVision #MachineLearning #OpenSource
Shrijanagainย 
posted an update 3 months ago
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4311
sKT-Ai-Labs


Join fast we will soon published tokens and all join and get started because we will soon off join request button if you want you can join fast guys
  • 1 reply
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Shrijanagainย 
posted an update 3 months ago
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โ€‹๐Ÿš€ Bharat AI Revolution ka Hissa Banein! ๐Ÿ‡ฎ๐Ÿ‡ณ

โ€‹Kya aap Bharat ko AI ki duniya mein ek nayi pehchan dilana chahte hain ?

SKT AI Labs sirf ek naam nahi, ek mission haiโ€”desh ko digital shakti dene ka aur "Viksit Bharat" ke sapne ko sach karne ka.

โ€‹Humse Kyun Judein?

โ€‹1. Desh ka Apna AI: Hum aise models bana rahe hain jo khas taur par Bharat ki zarooraton aur bhashaon ke liye hain.

โ€‹2. Open Collaboration: Hamare Hugging Face repository par hamare kaam ko dekhein, test karein aur apna yogdan dein.

3. Technological Growth: Agar aap student hain, developer hain ya tech enthusiast hain, toh hamare saath naya seekhne aur grow karne ka yeh behtareen mauka hai.

โ€‹Join here

sKT-Ai-Labs

๐Ÿ”—
sKT-Ai-Labs


โ€‹Aaiye, saath milkar Bharat AI Revolution ko aage badhate hain! ๐Ÿ’ป๐Ÿ”ฅ

โ€‹#SKTAILabs #DigitalIndia #AIRevolution #ViksitBharat #TechInnovation #JoinTheMission
Shrijanagainย 
posted an update 3 months ago
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6922
SOME NEW HINDI + ENGLISH DATASETS

๐Ÿ”—
- sKT-Ai-Labs/HIN
- sKT-Ai-Labs/SKT-MIX
- sKT-Ai-Labs/ST-H

Download and Use And Train Models

You Can Alsoo Use ST-x-LIGHTING Module For Faster Training

pip install ST-x-LIGHT-V11
  • 2 replies
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Shrijanagainย 
posted an update 3 months ago
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โ€‹We 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.
โ€‹Developed at SKT AI LABS, this corpus is not just a collection of data; itโ€™s a mission to decentralize high-grade AI training for regional languages and global knowledge.

โ€‹๐Ÿ’Ž Key Highlights:

โ€‹โ€ขโ€ข Massive Scale: Targeting a multi-terabyte architecture for 2T-level tokenization.

โ€ขโ€ข โ€‹Pure Quality: Curated from 500+ Elite Sources

โ€ขโ€ข โ€‹Structured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-๐•ป series) for seamless distributed training.

โ€‹๐Ÿค Open for Collaboration!

โ€‹We 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 designโ€”letโ€™s build the future together.

โ€‹Explore the Dataset on Hugging Face:

๐Ÿ”— https://huggingface.co/datasets/Shrijanagain/SKT-OMNI-CORPUS-146T-V1

DSR -- ๐Ÿ”— https://huggingface.co/datasets/Shrijanagain/SKT-DSRx10000

โ€‹#AI #MachineLearning #OpenSource #IndicAI #SKTAILABS #LLM #BigData #HuggingFace #InnovationIndia