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Powerful MoEs and merges for language models.

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Locutusque  updated a model 9 months ago
hydra-project/CerebrumDolphin-2.0-Mistral-7B-v0.2
Locutusque  updated a model 10 months ago
hydra-project/CerebrumHyperion-7B-DPO
Locutusque  updated a model 10 months ago
hydra-project/OpenHercules-2.5-Mistral-7B
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Severian 
posted an update about 10 hours ago
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🌱 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.
Severian 
posted an update 3 days ago
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3683
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 3 days ago
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1509
microsoft just released Phi-4 , check it out here : Tonic/Phi-4

hope you like it :-)
Severian 
posted an update 2 months ago
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586
Early Morning Before Work Project:

🌌 Introducing Cascade of Semantically Integrated Layers (CaSIL): A Humorously Over-Engineered Algorithm That Actually… Works 🤷‍♂️

Let me introduce CaSIL – the Cascade of Semantically Integrated Layers. Imagine giving a single question the level of introspection typically reserved for philosophical debates or maybe therapy. In short, CaSIL is a pure Python reasoning algorithm that, in a series of semantically rich layers, takes any input and rebuilds it into a nuanced response that’s (surprisingly) meaningful to a human.

I’ve been experimenting with various reasoning and agent approaches lately and decided to contribute my own quirky take on layered processing. It’s built without agent frameworks—just good ol' Python and math—and it plays nicely with any LLM. The result? A transformation from simple responses to deeper, interconnected insights. Here’s a quick peek at the steps:

✨ How CaSIL Works:

Initial Understanding: The first layer captures the basic concepts in your input, just as a warm-up.

Relationship Analysis: A lightweight knowledge graph (because why not?) maps out related ideas and builds interconnections.

Context Integration: Adds historical or contextual knowledge, bringing a bit of depth and relevance.

Response Synthesis: Pieces it all together, aiming to produce a response that feels more like a conversation than an outdated search result.

Does it work? Yes! And in record time, too. Admittedly, the code is rough—two days of intense coding with some friendly help from Claude. The beauty of CaSIL is its simplicity and versatility; it’s a pure algorithm without complex dependencies, making it easy to integrate into your own LLM setups.

🔗 Explore the repo here: https://github.com/severian42/Cascade-of-Semantically-Integrated-Layers

📜 Example outputs: https://github.com/severian42/Cascade-of-Semantically-Integrated-Layers/blob/main/examples.md
Tonic 
posted an update 2 months ago
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3522
🙋🏻‍♂️hey there folks,

periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal spaces behavior on load or launch ⚠️

we have a thread 👉🏻 https://discord.com/channels/879548962464493619/1295847667515129877

if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps 🤗🤗🤗
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Tonic 
posted an update 3 months ago
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1152
boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
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Tonic 
posted an update 3 months ago
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831
🙋🏻‍♂️ hey there folks ,

really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co/seq-to-pheno

scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
Tonic 
posted an update 3 months ago
Tonic 
posted an update 3 months ago
Tonic 
posted an update 3 months ago
Tonic 
posted an update 3 months ago
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1857
🙋🏻‍♂️ Hey there folks ,

🦎Salamandra release by @mvillegas and team
@BSC_CNS https://huggingface.co/BSC-LT is absolutely impressive so far !

perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.

the best part : the data was correctly licenced so it's actually future-proof!

the completions model is really creative and instruct fine tuned version is very good also.

now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.

check out 👇🏻
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
Tonic 
posted an update 3 months ago
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1733
@mlabonne hey there 🙋🏻‍♂️ I kinda got obsessed with your great model , and i found the endpoint for it in lambda labs, but basically i got rate limited / banned for trying to make my DPO dataset project, i was wondering if you all had an open ai compatible solution for me to make a great "thinking" sft + dpo dataset with all the splits 🙏🏻🙏🏻 kinda desparate , it's true , but was looking forward to a nice write ups 🚀🚀🚀
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Tonic 
posted an update 3 months ago
Tonic 
posted an update 4 months ago
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1242
🙋🏻‍♂️ Hey there folks,

stepfun-ai/GOT-OCR2_0 is in top trending and spaces of the week for the second week straight !!

This is madness 😱

🚀🚀check out my demo here : Tonic/GOT-OCR
Tonic 
posted an update 4 months ago
Tonic 
posted an update 4 months ago
Tonic 
posted an update 4 months ago
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1107
🙋🏻‍♂️ hey there folks ,

made an image similarity demo to test out the mistral-community/pixtral-12b-240910 model .

If anyone knows how to generate captions with it , please do let me know x 🚀

here's the demo : Tonic/Pixtral

hope you like it 🤗
Tonic 
posted an update 4 months ago
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2661
So awesome , now i can deploy a jupyterlab on huggingface and deploy gradio from the jupyterlab
Tonic 
posted an update 4 months ago
Tonic 
posted an update 4 months ago
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2525
🙋🏻‍♂️hey there folks ,

✒️InkubaLM has been trained from scratch using 1.9 billion tokens of data for five African languages, along with English and French data, totaling 2.4 billion tokens of data. It is capable of understanding and generating content in five African languages: Swahili, Yoruba, Hausa, isiZulu, and isiXhosa, as well as English and French.

model lelapa/InkubaLM-0.4B
demo Tonic/Inkuba-0.4B