Just dropped a Bash Command Dataset on Hugging Face! 💻 It pairs natural language instructions with real Bash commands, perfect for fine-tuning LLMs to automate the terminal. Short, long, and complex commands all included!🚀
We should really have a release date range slider on the /models page. Tired of "trending/most downloaded" being the best way to sort and still seeing models from 2023 on the first page just because they're embedded in enterprise pipelines and get downloaded repeatedly. "Recently Created/Recently Updated" don't solve the discovery problem considering the amount of noise to sift through.
Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
Hi everyone, my new model Fok-2B Instruct is a LoRA fine-tuned model on VNGRS AI Kumru-2B. Trained for the Turkish language, it analyzes Polar Research Station sensor data to detect potential risks and generate detailed recommendations. Please note that this is the first and smallest member of this model family.
One of my New Year's resolutions was to journal more. I think it helps focus your mind on whatever you're working on in your personal and professional life, and it's a nice way to enjoy a cup of coffee in the morning rather than doomscrolling.
My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.
Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal
I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.
Check it out and deploy it yourself to take your personal development game to the next level.
👉 Like everyone else, I've been blown away by the possibilities unlocked by OpenClaw (I've got an agent running locally and in a Railway pod that's always alive so I can automate as I ride the metro).
One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator
😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.
The moment we've been waiting for — ACE-Step dropped their new model: Ace-Step 1.5 🎉 🔗 ACE-Step/Ace-Step1.5 And the best part? It's released under the MIT license. We've already started integrating it into our project. Let's go 🚀
Think you know which AI papers go viral? Test your instincts! I built a little game where you try to guess the popularity of AI research papers from the Hugging Face Daily Papers feed.
How it works: You'll see two papers side by side—read the titles, check the abstracts, and pick which one you think got more upvotes from the HF community.
It's a great way to discover trending AI research while having fun. Tests your intuition about what the ML community finds interesting.
The core idea: instead of treating physics as a soft condition the model can work around during optimization, enforce it strictly via reinforcement learning. The paper focuses on rigid body dynamics - collisions, pendulums, free fall, rolling.