Activity Feed

AI & ML interests

None defined yet.

PhysiQuantyย 
posted an update 3 days ago
view post
Post
4494
๐Ÿง  Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model ๐Ÿš€
WhirlwindAI/Arithmetic-SLM
WhirlwindAI/arithmetic-slm

๐Ÿ† Leaderboard ArithMark-2 ๐Ÿ†
๐Ÿฅ‡ Qwen/Qwen2.5-Math-1.5B = 82.08%
๐Ÿฅˆ WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params)
๐Ÿฅ‰ Qwen/Qwen2.5-3B = 78.44%

Example WhirlwindAI/Arithmetic-SLM =
0.5 * 0.5 = 0.25 โœ…
105 + 45 / 8 = 110 โœ…
(132 / 12) + (46 - 15) = 42 โœ…
(10 + 28) * 3 = 114 โœ…
1 * (16 + 28) = 44 โœ…
(21 + 27) * (14 - 7) = 336 โŒ

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
ยท
PhysiQuantyย 
posted an update about 1 month ago
view post
Post
4852
๐ŸŒ We crawled the entirety of Hugging Face to help the community! Huge thanks to the Hugging Face API ๐ŸŒ
๐Ÿค– 2.91M model repos (file names included), ๐Ÿ“š 1.02M dataset repos, ๐Ÿš€ 1.31M Space repos
๐Ÿค— 617,501 committers (datasets and models), weโ€™ll share Hugging Face statistics with you in the coming days..

We also identified 61,398 users with โ€œAI/ML Interestsโ€, and NOW we can find each other through our โ€œAI/ML Interestsโ€๐Ÿค—
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
ยท
PhysiQuantyย 
posted an update about 2 months ago
PhysiQuantyย 
posted an update about 2 months ago
view post
Post
5152
โ— Dating apps do not allow us to control the profiles suggested to us based on our mutual search criteria โ—
๐Ÿงฌ 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 โšก WO2026082672 โšก
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026082672

J'ai du brevetรฉ pour te trouver et on se trouvera bientรดt !
  • 9 replies
ยท
PhysiQuantyย 
posted an update 3 months ago
PhysiQuantyย 
posted an update 3 months ago
view post
Post
3153
๐Ÿงฌ Can an LLM speak in binary ?
โœ… YES ... RADIX 2 / VOCAB 4
PhysiQuanty/Binary-LLM-POC

๐Ÿค– >_ 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

๐ŸŽฏ 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
ยท