Hugging Face's logo
Activity Feed Request to join this org

AI & ML interests

Building interactive demos to scikit-learn examples 🧡

Recent Activity
parkneurals  authored a paper 9 days ago
KV Cache Recycling to Expand Usable Context Capacity in Low Parameter LLMs
1aurent  authored a paper 19 days ago
Voxtral TTS
suayptalha  authored a paper 25 days ago
Diffutron: A Masked Diffusion Language Model for Turkish Language
View all activity
Shrijanagain 
posted an update about 6 hours ago
view post
Post
30
After 2 Years of research and Hard Work . we’ve crossed the 2.5T barrier! 🚀
​SKT-SURYA-H is now live: 2.544 Trillion parameters powered by our unique Weight Manifold Fusion (WMF) technology. Sovereign AI for Bharat is no longer a dream. 🇮🇳🧠

​🔗 sKT-Ai-Labs/SKT-SURYA-H

​#SKTAI #LLM #DeepTech #SovereignAI
awinml 
authored a paper 2 days ago
Aurelien-Morgan 
posted an update 4 days ago
parkneurals 
authored a paper 9 days ago
Shrijanagain 
posted an update 13 days ago
view post
Post
4145
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
·
PhysiQuanty 
posted an update 15 days ago
Shrijanagain 
posted an update 18 days ago
view post
Post
2568
​🚀 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
PhysiQuanty 
posted an update 19 days ago
view post
Post
2940
🧬 Can an LLM speak in binary ?
✅ YES ... RADIX 2 / VOCAB 4
PhysiQuanty/Binary-LLM-POC

🤖 >_ Can an LLM execute logic gates and boolean arithmetic ?

We need to create datasets :
- Neural Arithmetic and Logic Unit (NALU) 32 bits
- Neural Application Binary Interface (NABI) 32 bits

🎯 Optimal Instruction Set = RV32IMAF

This opens the way for code writing and execution by the LLMs themselves without an external CLI.

The more of us who want it, the more possible it will become ...

PhysiQuanty/Binary-Addition-LLM-POC
(10-bits binary addition : binary carry propagation, sampling no longer has any effect on the logits due to the fact that it is deterministic next token.)

  • 1 reply
·
Shrijanagain 
posted an update 19 days ago
suayptalha 
authored a paper 25 days ago
Shrijanagain 
posted an update 25 days ago
view post
Post
5578

​We are thrilled to announce the launch of SKT-OMNI-CORPUS-146T-V1, 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 146T-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
Shrijanagain 
posted an update 30 days ago
view post
Post
5469
Surya-1.1T: Scaling Beyond Human-Level Reasoning via 146 Trillion Token Pre-training
Author: SKT AI LABS
Affiliation: SKT AI Labs / Project Surya
Model Architecture: Optimized Dense Transformer
Parameters: 1.1 Trillion
Training Tokens: 146 Trillion

Wanna collaborate us Friends let's Start Journey we have Collected 146 trillon tokens and done pre training but we need to made more powerfull

Whitepaper - https://github.com/SHRIJANAGAIN/PROFF
  • 57 replies
·
Nymbo 
posted an update about 1 month ago
view post
Post
6614
We should really have a release date range slider on the /models page. Tired of "trending/most downloaded" being the best way to sort and still seeing models from 2023 on the first page just because they're embedded in enterprise pipelines and get downloaded repeatedly. "Recently Created/Recently Updated" don't solve the discovery problem considering the amount of noise to sift through.

Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
  • 3 replies
·
efecelik 
posted an update 2 months ago
view post
Post
3096
The moment we've been waiting for — ACE-Step dropped their new model: Ace-Step 1.5 🎉
🔗 ACE-Step/Ace-Step1.5
And the best part? It's released under the MIT license.
We've already started integrating it into our project. Let's go 🚀
  • 1 reply
·
MElHuseyni 
authored 2 papers 3 months ago
MElHuseyni 
submitted 2 papers to Daily Papers 3 months ago
efecelik 
posted an update 3 months ago
view post
Post
1400
🎮 Introducing: Paper Popularity Game

Think you know which AI papers go viral? Test your instincts!
I built a little game where you try to guess the popularity of AI research papers from the Hugging Face Daily Papers feed.

How it works:
You'll see two papers side by side—read the titles, check the abstracts, and pick which one you think got more upvotes from the HF community.

It's a great way to discover trending AI research while having fun.
Tests your intuition about what the ML community finds interesting.

Try it out:
efecelik/paper-popularity-game
Would love to hear your high scores and feedback!
efecelik 
posted an update 3 months ago