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prithivMLmods 
posted an update 3 days ago
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4683
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached “Space of the Week”! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! 🤗❤️

🔗 Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
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PhysiQuanty 
posted an update 3 days ago
AxionLab-official 
posted an update about 11 hours ago
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54
Someone ran Supra-50M-Instruct ON A 1GHZ 1999 CPU

https://www.reddit.com/r/LocalLLM/comments/1tm21ar/i_see_your_strix_halo_and_raise_you_a_vintage/

"As a fun experiment, I decided to try running the recently released Supra-50m on a 26-year-old machine I keep for retro Windows 9.X games. Although the model was somewhat silly and inconsistent, the performance wasn't bad, reaching around 1.3 tok/s with CPU inference alone.

Since this CPU doesn't have SSE2, I changed from llama.cpp to llama2.ce and asked Claude to write a custom tokenizer.

It's crazy to think that with the right file size of 200 MB, we could have experienced this magic back in 1999" - u/drone_stonks, r/localllm
pankajpandey-dev 
posted an update 1 day ago
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112
Just released Qwen3-0.6B fine-tuned on Hindi instruction data 🇮🇳

✅ Full model: pankajpandey-dev/Qwen3-0.6B-Hindi-Instruct-v1
✅ GGUF versions (Q2/Q4/Q5/Q8): pankajpandey-dev/Qwen3-0.6B-Hindi-Instruct-v1-GGUF

Smallest Hindi-capable GGUF — runs on any laptop at 0.37GB.
Next: v2 with more data, better responses.

#Hindi #LLM #GGUF #OpenSource
Juanxi 
posted an update 1 day ago
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108
🧐 BlogXiv provides a scholarly discovery interface for researchers to trace emerging ideas, compare technical perspectives, and engage with high-quality research communication.

Welcome any contributions such as star and submissions, thanks

Github: https://github.com/OpenEnvision/BlogXiv
Website: https://openenvision.github.io/BlogXiv/
kanaria007 
posted an update 1 day ago
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✅ Article highlight: *Real-Scale World Simulation Game* (art-60-157, v0.1)

TL;DR:
This article asks what it would take to build a “real SAO-like” world without hand-wavy magic.

The answer is not unlimited freedom. It is a *persistent world with bounded agency*: NPCs can act, form societies, trade, govern, and shape history—but only through pinned profiles, CAS state, ledgers, receipts, and replayable world history. In other words: a living world is believable only if it is governable.

Read:
kanaria007/agi-structural-intelligence-protocols

Why it matters:
• shows how to move from “match fairness” to “world-history fairness”
• treats NPC societies as bounded agents rather than decorative scripts
• makes laws, markets, factions, and institutions explicit state layers instead of lore vibes
• explains why “living world” claims need receipts, replay, and anti-abuse monitoring

What’s inside:
• layered world state as CAS: *physics, economy, society, institution, narrative*
• NPCs as receipted bounded agents with observation, action, and resource limits
• institution ledgers for law, market rules, faction control, and world governance
• world replay as *history reproduction*, not just match replay
• adversary monitoring for griefing, market rigging, propaganda, and governance capture
• unique-entity / ownership / transfer receipts for “only one in the world” style claims

Key idea:
Do not say:

*“the world feels alive.”*

Say:

*“this world evolved through a receipted, bounded-agency closed loop: state, NPC decisions, player actions, institutional transitions, replay, monitoring, and publication rules.”*

That is how a persistent world becomes believable without becoming ungovernable.
juiceb0xc0de 
posted an update 2 days ago
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128
Gemma-4-E2B SAE Atlas — Work in Progress

JumpReLU Sparse Autoencoders trained on every layer of Gemma-4-E2B-it using an adaptive Lagrangian controller. Training in progress. I'm publishing layers live as they come hot off the press for anyone interested in following along. I will be making further adjustments for finer resolution but the early data should be helpful I think? I'm just a bartender don't trust everything I say. 🤗 The Lagrangian math is pretty cool. It auto-steers the trainer taking the guess work out of hyperparameter adjustments.

Full paper and methodology when ever I get around to writing it up. There's a lot of work to be done. For now though, enjoy! 🤗

juiceb0xc0de/gemma-4-e2b-saes
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AxionLab-official 
posted an update 4 days ago
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We RELEASED!

SupraLabs just released our 50M model!
Base, Instruct Weights are there, you can use!

You can check blog to more informations!(Writing blog yet!)
Shrijanagain 
posted an update 4 days ago
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2489
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
danielhanchen 
posted an update 4 days ago
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