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Papers
Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
SWE-Together: Evaluating Coding Agents in Interactive User Sessions
QuantaSparkLabsย
updated a
model 2 days ago
yifannnwuย
submitted a
paper to Daily Papers 10 days ago
PhysiQuantyย
posted an update 13 days ago
Post
4679
๐ง Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model ๐
WhirlwindAI/Arithmetic-SLM
WhirlwindAI/arithmetic-slm
๐ Leaderboard ArithMark-2 ๐
๐ฅ Qwen/Qwen2.5-Math-1.5B = 82.08%
๐ฅ WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params)
๐ฅ Qwen/Qwen2.5-3B = 78.44%
Example WhirlwindAI/Arithmetic-SLM =
0.5 * 0.5 = 0.25 โ
105 + 45 / 8 = 110 โ
(132 / 12) + (46 - 15) = 42 โ
(10 + 28) * 3 = 114 โ
1 * (16 + 28) = 44 โ
(21 + 27) * (14 - 7) = 336 โ
Bench =
AxiomicLabs/ArithMark-2.0
DataSet =
WhirlwindAI/Arithmetic
By Science AND FOR SCIENCE <3
WhirlwindAI/Arithmetic-SLM
WhirlwindAI/arithmetic-slm
๐ Leaderboard ArithMark-2 ๐
๐ฅ Qwen/Qwen2.5-Math-1.5B = 82.08%
๐ฅ WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params)
๐ฅ Qwen/Qwen2.5-3B = 78.44%
Example WhirlwindAI/Arithmetic-SLM =
0.5 * 0.5 = 0.25 โ
105 + 45 / 8 = 110 โ
(132 / 12) + (46 - 15) = 42 โ
(10 + 28) * 3 = 114 โ
1 * (16 + 28) = 44 โ
(21 + 27) * (14 - 7) = 336 โ
leaderboard = """
| Model | Params | Score |
|----------------------------------|--------------|-----------|
| Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% |
| WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <=
| Qwen/Qwen2.5-3B | 3.09B | 78.44% |
| Qwen/Qwen2.5-1.5B | 1.54B | 77.72% |
| Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% |
| HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% |
| Qwen/Qwen2.5-0.5B | 494M | 63.04% |
| facebook/MobileLLM-R1-140M-base | 140M | 53.88% |
| SupraLabs/Supra-50M-Base | 52M | 27.12% |
"""Bench =
AxiomicLabs/ArithMark-2.0
DataSet =
WhirlwindAI/Arithmetic
By Science AND FOR SCIENCE <3
- 3 replies
yifannnwuย
submitted a
paper to Daily Papers 20 days ago
Shrijanagainย
posted an update 20 days ago
Post
180
Welcome Researcher and Developers!
SKT AI Labs, we are pushing the boundaries of AI architecture and researchโand today, we are thrilled to open our doors to the global research community!
โWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
โ๐งช What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
---------- CHECK OUT:
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
โ๐ค Your Feedback Shapes the Future :
โIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
โIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
โWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
โLet's innovate and build together! ๐ก
SKT AI Labs, we are pushing the boundaries of AI architecture and researchโand today, we are thrilled to open our doors to the global research community!
โWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
โ๐งช What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
---------- CHECK OUT:
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
โ๐ค Your Feedback Shapes the Future :
โIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
โIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
โWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
โLet's innovate and build together! ๐ก
Shrijanagainย
posted an update 23 days ago
Post
199
๐ Big News for the AI Community! ๐ฅ
Weโre excited to release NRS_QWEN_MYTHOS_1M โ a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weโve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.
๐ฅ Why This Model is a Game-Changer:
โ 100x Reasoning Capacity โ Exceptional deep logical thinking and complex problem-solving
โ 1 Million Token Context โ Perfect for massive codebases, long documents, and multi-turn agentic workflows
โ Advanced Thinking Mode โ Native <think> tags for true step-by-step Chain-of-Thought reasoning
โ Tool-Use Ready โ Optimized for Python execution, Web Search, and self-correction
โ 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 youโre 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.
๐ Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M
Drop a comment: What will you build with it first? ๐
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
Weโre excited to release NRS_QWEN_MYTHOS_1M โ a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weโve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.
๐ฅ Why This Model is a Game-Changer:
โ 100x Reasoning Capacity โ Exceptional deep logical thinking and complex problem-solving
โ 1 Million Token Context โ Perfect for massive codebases, long documents, and multi-turn agentic workflows
โ Advanced Thinking Mode โ Native <think> tags for true step-by-step Chain-of-Thought reasoning
โ Tool-Use Ready โ Optimized for Python execution, Web Search, and self-correction
โ 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 youโre 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.
๐ Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M
Drop a comment: What will you build with it first? ๐
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
Gaetan10ย
submitted a
paper to Daily Papers about 1 month ago
Benjamin-eecsย
authored a
paper about 1 month ago
zyhang1998ย
submitted a
paper to Daily Papers about 2 months ago
PhysiQuantyย
posted an update about 2 months ago
Post
4950
๐ We crawled the entirety of Hugging Face to help the community! Huge thanks to the Hugging Face API ๐
๐ค 2.91M model repos (file names included), ๐ 1.02M dataset repos, ๐ 1.31M Space repos
๐ค 617,501 committers (datasets and models), weโll share Hugging Face statistics with you in the coming days..
We also identified 61,398 users with โAI/ML Interestsโ, and NOW we can find each other through our โAI/ML Interestsโ๐ค
HF-Collab-Center/Searching-For-HuggingFace-Users
HF-Collab-Center/All-Model-Repos
HF-Collab-Center/All-Dataset-Repos
HF-Collab-Center/All-Space-Repos
HF-Collab-Center/HF-Users
HF-Collab-Center/HF-Users-with-last-seen
HF-Collab-Center/HF-Users-With-AI-ML-Interests-Only
Made By @QuantaSparkLabs and @PhysiQuanty
C'est franรงais, bon.. en anglais.. mais c'est franรงais ;)
๐ค 2.91M model repos (file names included), ๐ 1.02M dataset repos, ๐ 1.31M Space repos
๐ค 617,501 committers (datasets and models), weโll share Hugging Face statistics with you in the coming days..
We also identified 61,398 users with โAI/ML Interestsโ, and NOW we can find each other through our โAI/ML Interestsโ๐ค
HF-Collab-Center/Searching-For-HuggingFace-Users
HF-Collab-Center/All-Model-Repos
HF-Collab-Center/All-Dataset-Repos
HF-Collab-Center/All-Space-Repos
HF-Collab-Center/HF-Users
HF-Collab-Center/HF-Users-with-last-seen
HF-Collab-Center/HF-Users-With-AI-ML-Interests-Only
Made By @QuantaSparkLabs and @PhysiQuanty
C'est franรงais, bon.. en anglais.. mais c'est franรงais ;)
- 5 replies
PhysiQuantyย
posted an update about 2 months ago
Post
4650
๐งฌ You can now find out whether your cognitive soulmate has already existed among 50k anonymized profiles โจ
SpiceeChat/Check-If-Your-Soulmate-Has-Already-Existed
SpiceeChat/OkCupid-59k-Anonymized-Profiles
https://dating-fatigue.com/
You seek them: 79.7% | They may seek you: 84.1% (coming soon)
๐ฅ Powered by open source and too much coffee ๐ฅ
SpiceeChat/Check-If-Your-Soulmate-Has-Already-Existed
SpiceeChat/OkCupid-59k-Anonymized-Profiles
https://dating-fatigue.com/
You seek them: 79.7% | They may seek you: 84.1% (coming soon)
๐ฅ Powered by open source and too much coffee ๐ฅ
- 2 replies
Shrijanagainย
posted an update about 2 months ago
Post
2624
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
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
PhysiQuantyย
posted an update 2 months ago
Post
5154
โ Dating apps do not allow us to control the profiles suggested to us based on our mutual search criteria โ
๐งฌ If you want to see if your soulmate has already existed, I have published a dataset of 59k anonymized public profiles
SpiceeChat/OkCupid-59k-Anonymized-Profiles
Are you looking for a female ML engineer who is looking for a male ML engineer and you can't find it on the apps ?
You need to look for her, but more importantly, she needs to look for you.
Personally, I'm looking for a physicist I'm encountering the same problem. I can't find it
My answer : Paradox of choice of dating apps solved by patent โก WO2026082672 โก
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026082672
J'ai du brevetรฉ pour te trouver et on se trouvera bientรดt !
๐งฌ If you want to see if your soulmate has already existed, I have published a dataset of 59k anonymized public profiles
SpiceeChat/OkCupid-59k-Anonymized-Profiles
Are you looking for a female ML engineer who is looking for a male ML engineer and you can't find it on the apps ?
You need to look for her, but more importantly, she needs to look for you.
Personally, I'm looking for a physicist I'm encountering the same problem. I can't find it
My answer : Paradox of choice of dating apps solved by patent โก WO2026082672 โก
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026082672
J'ai du brevetรฉ pour te trouver et on se trouvera bientรดt !
- 9 replies
Benjamin-eecsย
authored a
paper 3 months ago
pandeypsย
authored a
paper 3 months ago
Shrijanagainย
posted an update 4 months ago
Post
4319
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
PhysiQuantyย
posted an update 4 months ago
Post
3637
๐ซ๐ท French PATENTS DataSets
๐ 800k patents (1981-2026)
https://huggingface.co/datasets/INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
๐ API/FTP INPI ACCESS
๐ Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
๐ 800k patents (1981-2026)
https://huggingface.co/datasets/INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
๐ API/FTP INPI ACCESS
๐ Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
Shrijanagainย
posted an update 4 months ago
Post
2686
โ๐ Bharat AI Revolution ka Hissa Banein! ๐ฎ๐ณ
โKya aap Bharat ko AI ki duniya mein ek nayi pehchan dilana chahte hain ?
SKT AI Labs sirf ek naam nahi, ek mission haiโdesh ko digital shakti dene ka aur "Viksit Bharat" ke sapne ko sach karne ka.
โHumse Kyun Judein?
โ1. Desh ka Apna AI: Hum aise models bana rahe hain jo khas taur par Bharat ki zarooraton aur bhashaon ke liye hain.
โ2. 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.
โJoin here
sKT-Ai-Labs
๐ sKT-Ai-Labs
โAaiye, saath milkar Bharat AI Revolution ko aage badhate hain! ๐ป๐ฅ
โ#SKTAILabs #DigitalIndia #AIRevolution #ViksitBharat #TechInnovation #JoinTheMission
โKya aap Bharat ko AI ki duniya mein ek nayi pehchan dilana chahte hain ?
SKT AI Labs sirf ek naam nahi, ek mission haiโdesh ko digital shakti dene ka aur "Viksit Bharat" ke sapne ko sach karne ka.
โHumse Kyun Judein?
โ1. Desh ka Apna AI: Hum aise models bana rahe hain jo khas taur par Bharat ki zarooraton aur bhashaon ke liye hain.
โ2. 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.
โJoin here
๐
โAaiye, saath milkar Bharat AI Revolution ko aage badhate hain! ๐ป๐ฅ
โ#SKTAILabs #DigitalIndia #AIRevolution #ViksitBharat #TechInnovation #JoinTheMission
PhysiQuantyย
posted an update 4 months ago
Post
3154
๐งฌ Can an LLM speak in binary ?
โ YES ... RADIX 2 / VOCAB 4
PhysiQuanty/Binary-LLM-POC
๐ค >_ 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
๐ฏ 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.)
โ YES ... RADIX 2 / VOCAB 4
PhysiQuanty/Binary-LLM-POC
๐ค >_ 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
๐ฏ 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.)
leaderboard = """
| Model | Params | Score |
|----------------------------------|--------------|-----------|
| Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% |
| WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <=
| Qwen/Qwen2.5-3B | 3.09B | 78.44% |
| Qwen/Qwen2.5-1.5B | 1.54B | 77.72% |
| Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% |
| HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% |
| Qwen/Qwen2.5-0.5B | 494M | 63.04% |
| facebook/MobileLLM-R1-140M-base | 140M | 53.88% |
| SupraLabs/Supra-50M-Base | 52M | 27.12% |
"""- 1 reply
Shrijanagainย
posted an update 4 months ago
Post
6926
SOME NEW HINDI + ENGLISH DATASETS
๐
- 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
๐
- 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