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Tonic  new activity 2 days ago
zero-gpu-explorers/README:Zero GPU not picking up app.py file
hysts  new activity 7 days ago
zero-gpu-explorers/README:use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)
Tonic  new activity 9 days ago
zero-gpu-explorers/README:ZeroGPU Decorator does not work with gr.load()
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ariG23498 
posted an update 2 days ago
Tonic 
posted an update 2 days ago
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1143
🙋🏻‍♂️ Hey there folks ,

Facebook AI just released JASCO models that make music stems .

you can try it out here : Tonic/audiocraft

hope you like it
Tonic 
in zero-gpu-explorers/README 2 days ago

Zero GPU not picking up app.py file

1
#148 opened 2 days ago by
Tonic
MoritzLaurer 
posted an update 3 days ago
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1763
Microsoft's rStar-Math paper claims that 🤏 ~7B models can match the math skills of o1 using clever train- and test-time techniques. You can now download their prompt templates from Hugging Face !

📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!

Details and links here 👇
Prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
Templates on the hub: MoritzLaurer/rstar-math-prompts
Prompt-templates collection: MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
Paper: https://arxiv.org/pdf/2501.04519
Tonic 
posted an update 4 days ago
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2205
🙋🏻‍♂️Hey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group : Tonic/Lucie-7B hope you like it 🚀
meg 
posted an update 5 days ago
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2829
💫...And we're live!💫 Seasonal newsletter from ethicsy folks at Hugging Face, exploring the ethics of "AI Agents"
https://huggingface.co/blog/ethics-soc-7
Our analyses found:
- There's a spectrum of "agent"-ness
- *Safety* is a key issue, leading to many other value-based concerns
Read for details & what to do next!
With @evijit , @giadap , and @sasha
Severian 
posted an update 7 days ago
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589
🌱 Potential Made Simple: Free Life System/Productivity App based on Rythmn of Existence. No BS. No Catch. Just want to cut through the noise and help

The Origin Story

Inspired by Rob Dyrdek's "Rhythm of Existence" philosophy, this system has been expanded into a comprehensive life management tool featuring habit tracking, journaling, life statistics, and more. While I support entrepreneurs creating premium productivity apps, I believe self-improvement should never have financial barriers. That’s why this system is open source and free—no paywalls, premium features, or gatekeeping. Anyone can use it to start optimizing their life, ensuring accessibility for all.

How to Get Started

Two ways to access the system:

HuggingFace Version (Recommended)
- Visit Severian/Potential-Made-Simple
- Create a free HuggingFace account if needed.
- Duplicate the space to create your private version.
- Pro tip: Save it as a PWA for offline mobile use.

Google Sheets Version*
- Ideal for spreadsheet users or those avoiding new accounts.
- Access it https://docs.google.com/spreadsheets/d/1O2R0TCp0t27VZJuvkrz_gMJAl-nkwqeVyL3i6pN7aCo/edit?usp=sharing
- Save a copy and start tracking.

Features Beyond ROE

- Habit tracking
- Daily journaling with prompts
- Life statistics and visualizations
- Task management
- Meal tracking
- Progress metrics
- Historical data analysis
- And more!

Supporting the Project (Optional)

This system is free and always will be. If you find value in it, you can support my work at https://www.ko-fi.com/severian42. Contributions are entirely optional and don’t unlock extra features—they’re simply a way to say thanks.

My mission is to help as many people as possible optimize their lives and reach their full potential. Remember, self-improvement doesn’t have to come with a high price tag.
MoritzLaurer 
posted an update 7 days ago
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2918
FACTS is a great paper from @GoogleDeepMind on measuring the factuality of LLM outputs. You can now download their prompt templates from @huggingface to improve LLM-based fact-checking yourself!

📏 The paper introduces the FACTS Grounding benchmark for evaluating the factuality of LLM outputs.

🤖 Fact-checking is automated by an ensemble of LLM judges that verify if a response is fully grounded in a factual reference document.

🧪 The authors tested different prompt templates on held-out data to ensure their generalization.

📚 It's highly educational to read these templates to learn how frontier labs design prompts and understand their limitations.

💾 You can now download and reuse these prompt templates via the prompt-templates library!

🔄 The library simplifies sharing prompt templates on the HF hub or locally via standardized YAML files. Let’s make LLM work more transparent and reproducible by sharing more templates like this!

Links 👇
- prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
- all templates on the HF Hub: MoritzLaurer/facts-grounding-prompts
- FACTS paper: https://storage.googleapis.com/deepmind-media/FACTS/FACTS_grounding_paper.pdf
hysts 
in zero-gpu-explorers/README 7 days ago

use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)

40
#129 opened 3 months ago by
Nerva1228
MoritzLaurer 
posted an update 9 days ago
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1678
The TRL v0.13 release is 🔥! My highlight are the new process reward trainer to train models similar to o1 and tool call support:

🧠 Process reward trainer: Enables training of Process-supervised Reward Models (PRMs), which reward the quality of intermediate steps, promoting structured reasoning. Perfect for tasks like stepwise reasoning.

🔀 Model merging: A new callback leverages mergekit to merge models during training, improving performance by blending reference and policy models - optionally pushing merged models to the Hugging Face Hub.

🛠️ Tool call support: TRL preprocessing now supports tool integration, laying the groundwork for agent fine-tuning with examples like dynamic temperature fetching in prompts.

⚖️ Mixture of judges: The new AllTrueJudge combines decisions from multiple binary judges for more nuanced evaluation.

Read the release notes and other resources here 👇
Release: https://github.com/huggingface/trl/releases/tag/v0.13.0
Mergekit: https://github.com/arcee-ai/mergekit
Mixture of judges paper: The Perfect Blend: Redefining RLHF with Mixture of Judges (2409.20370)
Tonic 
in zero-gpu-explorers/README 9 days ago

ZeroGPU Decorator does not work with gr.load()
#147 opened 9 days ago by
Tonic
Severian 
posted an update 10 days ago
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3791
Interesting Solution to the Problem of Misguided Attention

So I've been fascinated by the problem of Misguided Attention for a few weeks. I am trying to build an inference algorithm to help LLMs address that issue; but in the process, I found a cool short-term fix I call "Mindful Attention" using just prompt-engineering.

Have you ever thought about how our brains filter reality through layers of past experiences, concepts, and mental images? For example, when you look at an oak tree, are you truly seeing that oak tree in all its unique details, or are you overlaying it with a generalized idea of "oak tree"? This phenomenon inspired the new approach.

LLMs often fall into a similar trap, hence the Misguided Attention problem. They process input not as it’s uniquely presented but through patterns and templates they’ve seen before. This leads to responses that can feel "off," like missing the point of a carefully crafted prompt or defaulting to familiar but irrelevant solutions.

I wanted to address this head-on by encouraging LLMs to slow down, focus, and engage directly with the input—free of assumptions. This is the core of the Mindful Attention Directive, a prompt designed to steer models away from over-generalization and back into the moment.

You can read more about the broader issue here: https://github.com/cpldcpu/MisguidedAttention

And if you want to try this mindful approach in action, check out the LLM I’ve set up for testing: https://hf.co/chat/assistant/677e7ebcb0f26b87340f032e. It works about 80% of the time to counteract these issues, and the results are pretty cool.

I'll add the Gist with the full prompt. I admit, it is quite verbose but it's the most effective one I have landed on yet. I am working on a smaller version that can be appended to any System Prompt to harness the Mindful Attention. Feel free to experiment to find a better version for the community!

Here is the Gist: https://gist.github.com/severian42/6dd96a94e546a38642278aeb4537cfb3
Tonic 
posted an update 10 days ago
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1624
microsoft just released Phi-4 , check it out here : Tonic/Phi-4

hope you like it :-)
LXT 
authored a paper 10 days ago
mrfakename 
in zero-gpu-explorers/README 10 days ago

Try to use FlUX 3D Style Image Generator

2
#146 opened 10 days ago by
123456qwqe
MoritzLaurer 
posted an update 11 days ago
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2045
OpenAI is losing money on the $200/month subscription 🤯. It's crazy how expensive it is to run these largest LLMs:

- ChatGPT Pro costs $200/month ($2,400/year) and is still unprofitable for OpenAI due to higher-than-expected usage.
- OpenAI reportedly expected losses of about $5 billion on revenue of $3.7 billion last year, with ChatGPT alone once costing an estimated $700,000 per day to operate. 💸🔥
- They build strong models and do great research. Whether this business model will work in the long run is one of the biggest questions in the AI economy today.

Source with the numbers 👇
https://techcrunch.com/2025/01/05/openai-is-losing-money-on-its-pricey-chatgpt-pro-plan-ceo-sam-altman-says/
·
wangfuyun 
authored a paper 11 days ago
MoritzLaurer 
posted an update 12 days ago
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2191
🚀 Releasing a new zeroshot-classifier based on ModernBERT! Some key takeaways:

- ⚡ Speed & efficiency: It's multiple times faster and uses significantly less memory than DeBERTav3. You can use larger batch sizes and enabling bf16 (instead of fp16) gave me a ~2x speed boost as well
- 📉 Performance tradeoff: It performs slightly worse than DeBERTav3 on average across my zeroshot classification task collection
- 🧠 Use cases: I recommend using it for scenarios requiring speed and a larger context window (8k).
- 💡 What’s next? I’m preparing a newer version trained on better + longer synthetic data to fully leverage the 8k context window and improve upon the training mix of my older zeroshot-v2.0 models. I also hope that there will be a multilingual variant in the future.

Great work by https://huggingface.co/answerdotai !

If you’re looking for a high-speed zeroshot classifier, give it a try!

📄 Resources below: 👇
Base model: MoritzLaurer/ModernBERT-base-zeroshot-v2.0
Large model: MoritzLaurer/ModernBERT-large-zeroshot-v2.0
Updated zeroshot collection: MoritzLaurer/zeroshot-classifiers-6548b4ff407bb19ff5c3ad6f
ModernBERT collection with paper: answerdotai/modernbert-67627ad707a4acbf33c41deb
Jiayi-Pan 
authored 2 papers 15 days ago