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Niels Rogge
@NielsRogge
ML Engineer @huggingface. Building @KU_Leuven grad. General interest in machine & deep learning. Making AI more accessible for everyone!
752 Following    25.1K Followers
The top trending model on @huggingface currently is an image-to-3D model called Idol. 🔥 It is built by @speridlabs, a company based in Spain. 🇪🇸 > 600M parameters, pre-trained from scratch. > requires less than 7.2GB of VRAM > generates 1M splats in 3 seconds > Apache 2.0 license Kudos to Speridlabs for this amazing open release! Find the links below
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Papers with Code is now open-source! Apache 2.0-license. Let's collaboratively make the best paper interface!
I've made some big improvements to the PDF reader on Papers with Code! > The AI assistant now cites its sources, full RAG-style > This is powered by Chandra-OCR 2 by @datalabto which is openly available on @huggingface > This model returns bounding boxes besides markdown > Allows you to click on citations and highlight sections Try it out on any PDF, like
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Curious to keep up to date with auto-research papers? Just added a category for it on Papers with Code! Find it here:
Decision Model (also called System One model or typed decision model) has been added as a method to Papers with Code Explore all papers here:
Amazing summary of the mess that is OpenAI model names 😂
OpenAI model names aren't that confusing, you just need to know we started with GPT-1, 2 and 3, then 3.5, then 3.5 Turbo, then GPT-4, then GPT-4 Turbo, then GPT-4o where the o means omni, except it didn't really end up being omni, then GPT-4o mini Then we switch to the o series, where the o now means OpenAI instead of omni, starting with o1-preview and o1-mini, then o1 drops the preview, then we skip o2 and they announce o3 and o3-mini, but o3-mini gets released first, meanwhile GPT-4.5 comes out and THEN GPT-4.1 because why not, alongside GPT-4.1 mini and nano, then o3 finally arrives with o4-mini even though there's no regular o4 Then we're back to GPT with GPT-5, mini and nano, followed by 5.1, 5.2 and 5.2-Codex, then 5.3-Codex, and yes there's also GPT-5.3 but ONLY Instant, no Thinking or Pro, then 5.4 brings the coding capabilities into the main model so we drop the Codex suffix, but hey mini and nano are back, then 5.5, then 5.6 where the names are now Sol, Terra and Luna Then GPT-6 arrives but only Astra at first, followed by Sol and Luna, no GPT-6 Terra this time, and exactly a week after GPT-6 Sol we get GPT-6.1 Sol with near-Astra performance at a much lower cost And that's just the quick version, wasn't that hard was it?
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For folks interested in filtering the signal from the noise of arXiv papers, check out Curious for any feedback as it might help us determine what features to bring to @HuggingPapers!
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just checked hf daily papers sept ranking, dpsk v4.1 flash only has 191 upvotes? ridiculous, it is the greatest paper of sept
The correct take (But somehow people keep using the freaking terminal, an app from the eighties, to interact with coding agents)
I haven’t touched Claude Code or Codex CLI in a while. The terminal era is over imo. It's the wrong interface for coding agents. Tabs are ephemeral, but context is persistent, and managing 30 tabs is pure cognitive overhead. I don’t really need an IDE like Cursor either. I rarely navigate the whole codebase anymore. The new primitive is the agent, not the file. (Codex desktop app is the best agentic UI for now. But we’re still early.)
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PixelUUM by @NVIDIAAI is the top trending paper on Papers with Code! Explore it here:
Let's remove VAEs and ViTs from video models! 🚀 Introducing 𝗣𝗶𝘅𝗲𝗹𝗨𝗠𝗠: an encoder-free unified multimodal model for image and video understanding and generation, directly in pixel space. Code and model available today! 🌐 📄
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I’m so proud that when you ask “What’s the SOTA for small coding agents” on Papers with Code, it includes FrogNano in its answer 😍🤗 Congrats Microsoft on this release!
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It is here now ! Enjoy our 4B model 🐸
Upgrading the backend of to Pi 1.0! Which means, native MCP support 👀👌
People of Pi: We've shipped Pi 1.0 with Pi Durable. Go make them yours.
1/ Excited to release The ultimate guide to multi-harness RL The same model behaves differently in every agent harness. So we built an open way to train any model with RL on any task set, inside the harnesses people actually use, like Claude Code, Codex, and OpenCode, without changing a single line of harness or training code. Trained across four harnesses, LFM2.5-2.6B went from 42% to 54% with 31% fewer tool calls. 🧵
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This is a very cool paper! It’s also indexed on Papers with Code where you can chat with it and explore the 18 different evals on various benchmarks Find it here:
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Let's remove VAEs and ViTs from video models! 🚀 Introducing 𝗣𝗶𝘅𝗲𝗹𝗨𝗠𝗠: an encoder-free unified multimodal model for image and video understanding and generation, directly in pixel space. Code and model available today! 🌐 📄
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If you haven’t tried Jobs on @huggingface, I highly recommend it! It’s serverless compute (CPU or GPU) for anything you want to run on the cloud It’s agent-first thanks to the hf CLI and Skill. I use it to power all CRON jobs of Papers with Code, among other things Check it out at
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Hugging Face Jobs usage is stonking 📈 All thanks to agents: you just need the hf CLI installed and you have access to an insane amount of hardware. Asked mine to test hundreds of code snippets from Hub model pages: it launched 322 Jobs in 90 minutes, up to 25 at once, CPU to A100 (diffusers, transformers, sklearn, MLX, Keras...) Total bill: ~$4 🤯
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My prediction is that, despite Gemini 4 beating all models on most benchmarks, it won’t transfer to real world usage The last time I used Gemini for coding was Gemini-2.5-Pro-exp-03-25, released > 1.5 years ago I really hope I’m wrong though
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Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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Papers with Code is live again! However, I hit my 5 hour limit after just 2 prompts, not sure what happened It’s temporarily fixed, better fix will be coming once I’m back
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Hi folks. Thanks for reporting is currently down I’m travelling South Africa for the moment and touching grass. Bear with me to make it available again. Might take some days. Planning to open-source the code base once I’m back
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GLM-5.3 has helped defend 389 open-source projects, with 4,249 potential vulnerabilities found so far. OpenVuln is still running. The service remains free, and findings go privately to maintainers.
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Hi folks. Thanks for reporting is currently down I’m travelling South Africa for the moment and touching grass. Bear with me to make it available again. Might take some days. Planning to open-source the code base once I’m back
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Hoping this is temporary? In the meantime, we can still use
The Hugging Face for rl envs is literally just Hugging Face Find the new filter here: