AI-basic-class (Solving Real World Problems)

posted an update about 5 hours ago

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12

🚀 Big News for the AI Community! 🔥

We’re excited to release NRS_QWEN_MYTHOS_1M — a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, we’ve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.

🔥 Why This Model is a Game-Changer:
✅ 100x Reasoning Capacity — Exceptional deep logical thinking and complex problem-solving
✅ 1 Million Token Context — Perfect for massive codebases, long documents, and multi-turn agentic workflows
✅ Advanced Thinking Mode — Native <think> tags for true step-by-step Chain-of-Thought reasoning
✅ Tool-Use Ready — Optimized for Python execution, Web Search, and self-correction
✅ Blazing Fast — 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 you’re a developer building coding agents, a researcher working with long-context data, or someone who loves powerful reasoning — this model is built for you.

👉 Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M

Drop a comment: What will you build with it first? 👇
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity

Shrijanagain

posted an update about 1 month ago

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2611

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

Shrijanagain

posted an update 3 months ago

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4310

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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Shrijanagain

posted an update 3 months ago

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2679

🚀 Bharat AI Revolution ka Hissa Banein! 🇮🇳

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

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

Humse Kyun Judein?

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

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.

Join here

sKT-Ai-Labs
🔗

sKT-Ai-Labs

Aaiye, saath milkar Bharat AI Revolution ko aage badhate hain! 💻🔥

#SKTAILabs #DigitalIndia #AIRevolution #ViksitBharat #TechInnovation #JoinTheMission

Shrijanagain

posted an update 3 months ago

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6922

SOME NEW HINDI + ENGLISH DATASETS

🔗
- 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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Shrijanagain

posted an update 3 months ago

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5657

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.
Developed at SKT AI LABS, this corpus is not just a collection of data; it’s a mission to decentralize high-grade AI training for regional languages and global knowledge.

💎 Key Highlights:

•• Massive Scale: Targeting a multi-terabyte architecture for 2T-level tokenization.

•• Pure Quality: Curated from 500+ Elite Sources

•• Structured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-𝕻 series) for seamless distributed training.

🤝 Open for Collaboration!

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 design—let’s build the future together.

Explore the Dataset on Hugging Face:

🔗 https://huggingface.co/datasets/Shrijanagain/SKT-OMNI-CORPUS-146T-V1

DSR -- 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-DSRx10000

#AI #MachineLearning #OpenSource #IndicAI #SKTAILABS #LLM #BigData #HuggingFace #InnovationIndia

Felguk

posted an update about 1 year ago

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2303

Where gone streamlit in huggingface?

3 replies

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John6666

posted an update about 1 year ago

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40195

If your Space stops working after restarting mainly for the last 5 days (https://discuss.huggingface.co/t/my-space-suddenly-went-offline-the-cpu-cannot-restart/151121/22), try some of following.
1. Add pydantic==2.10.6 to requirements.txt or upgrade Gradio to the latest version.
2. Upgrade PyTorch to 2.2.0 or later (torch>=2.2.0 for Zero GPU space).
3. Fix Transformers to 4.49.0 or earlier (transformers<=4.49.0for spaces using Transformers or Diffusers).
4. Fix huggingface_hub to the old version (huggingface_hub==0.25.2 for if an error like cached_download is not available occurs or inference does not work properly)
5. Specifying WORKDIR in Dockerfile may cause the application to fail to start with error 137. (Docker Spaces, https://discuss.huggingface.co/t/error-code-137-cache-error/152177)

About pydantic==2.10.6:
https://discuss.huggingface.co/t/error-no-api-found/146226
https://discuss.huggingface.co/t/internal-server-error-bool-not-iterable/149494

Edit:
Zero GPU space has been upgraded from A100 to H200.
This is likely the reason why older versions of PyTorch are no longer supported.
In fact, an error message to that effect was displayed.
zero-gpu-explorers/README#163

2 replies

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John6666

posted an update about 1 year ago

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41406

I used up my Zero GPU Quota yesterday (about 12 hours ago). At the time, I got a message saying “Retry at 13:45 (approx.)”, but now it's just changed to “Retry at 03:22”.
Anyway, everyone, let's be careful not to use up our Quota...

Related: https://huggingface.co/posts/Keltezaa/754755723533287#67e6ed5e3394f1ed9ca41dbd

1 reply

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Alanturner2

updated a Space over 1 year ago

README

🐢

Alanturner2

updated a model over 1 year ago

AI-basic-class/fine-tuning

0.1B • Updated Jan 20, 2025 • 3 • 1

Alanturner2

published a model over 1 year ago

AI-basic-class/fine-tuning

0.1B • Updated Jan 20, 2025 • 3 • 1

Alanturner2

updated a Space over 1 year ago

JambaSimpleChatBot

📈

3

A simple chat bot using Jamba

Alanturner2

published a Space over 1 year ago

JambaSimpleChatBot

📈

3

A simple chat bot using Jamba

KellanBrooks

updated a model over 1 year ago

AI-basic-class/gemma-medical-finetuned-model

Updated Dec 14, 2024

John6666

posted an update almost 2 years ago

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26156

@victor @not-lain There has been a sudden and unusual outbreak of spam postings on the HF Forum that seem to be aimed at relaying online videos and commenting on them. It is also spanning multiple languages for some reason. I've flagged it too, but I'm not sure if the staff will be able to keep up with the manual measures in the future.

16 replies

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John6666

posted an update almost 2 years ago

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24021

@victor Sorry for the repetitiveness.

I'm not sure if Post is the right place to report such an error, but it seems to be a server error unrelated to the Zero GPU space error the other day, so I don't know where else to report it.

Since this morning, I have been getting a strange error when running inference from space in Gradio 3.x.
Yntec (@Yntec ) discovered it, but he is not in the Pro subscription, so I am reporting it on behalf of him.

The error message is as follows: 1girl and other prompts will show cached output, so experiment with unusual prompts.

Thank you in advance.

John6666/blitz_diffusion_error
https://huggingface.co/spaces/John6666/GPU-stresser-t2i-error

ValueError: Could not complete request to HuggingFace API, Status Code: 500, Error: unknown error, Warnings: ['CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF', 'There was an inference error: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF']

14 replies

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John6666

posted an update almost 2 years ago

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2868

@victor

Excuse me.
I would like to report the following bug or new specification that is probably the cause of the fatal stacks that are occurring in the Zero GPU space throughout HF.
Thanks.

zero-gpu-explorers/README#104

3 replies

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