10 75 73

Jared Sulzdorf PRO

jsulz

https://www.jsulz.com/

AI & ML interests

Infrastructure, law, policy

Recent Activity

reacted to merve's post with 🔥 about 9 hours ago

A ton of impactful models and datasets in open AI past week, let's summarize the best 🤩 https://huggingface.co/collections/merve/releases-apr-21-and-may-2-6819dcc84da4190620f448a3 💬 Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B 🤯 as well as Qwen2.5-Omni, any-to-any model in 3B and 7B! > Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes) > NVIDIA released new CoT reasoning datasets 🖼️ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model > Meta released EdgeTAM, an on-device object tracking model (SAM2 variant) 🗣️ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model > Nari released Dia, a 1.6B text-to-speech model > Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model 👩🏻‍💻 JetBrains released Melium models in base and SFT for coding > Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model 🤩

liked a Space about 22 hours ago

HuggingFaceTB/wikiracing-llms

reacted to BramVanroy's post with 🚀 3 days ago

📢💾 Introducing the Common Crawl Creative Commons Corpus (C5)! C5 is a large-scale effort to heavily filter web-crawled data, as collected by the non-profit Common Crawl, to only documents that are Creative Commons-licensed such as cc-by-4.0 or public domain cc0. At this stage 150 billion tokens have been collected. --- 📄 data: https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons 🧰 software: https://github.com/BramVanroy/CommonCrawl-CreativeCommons --- </> To build C5, HTML pages are scrutinized and all links (if any) to CC licenses are collected, both in regular hyperlinks as well as in metadata. Additional data fields are included such as "was the license found in the `head`?" or "if multiple licenses were found, do they contradict each other?", which makes further filtering a breeze. 🌐 In this first version of C5, 8 languages are included (Afrikaans, German, English, French, Frysian, Italian, Dutch and Spanish). The language set was limited for two reasons: computational and storage limitations, and a collaboration with GPT-NL, which requested CC data for these languages to train a Dutch-focused, copyright-conscious LLM. In total, this V1 release contains almost 150 thousand documents and 150 billion tokens. This data was not filtered on quality nor deduplicated so that you can decide for yourself how much data to keep. To give some quality indication, a dataset field is present to describe whether a document is included in the FineWeb(-2) datasets, which are of high quality. 🔍 More work needs to be done! Only 7 out of 100+ Common Crawl crawls have been processed so far. That's encouraging because it means there is a lot more Creative Commons data to be collected! But to get there I need help in terms of compute. The current processing was already heavily sponsored by the Flemish Supercomputer but more is needed. If you have the compute available and which to collaborate in an open and transparent manner, please get in touch!

View all activity

Organizations

Posts 15

Post

2357

xet-team we've been hard at work bringing a new generation of storage to the Hugging Face community, and we’ve crossed some major milestones:

👷 Over 2,000 builders and nearing 100 organizations with access to Xet
🚀 Over 70,000 model and dataset repositories are Xet-backed
🤯 1.4 petabytes managed by Xet

As we move repos from LFS to Xet for everyone we onboard, we’re pushing our content-addressed store (CAS). Check out the chart below 👇 of CAS hitting up to 150 Gb/s throughput this past week.

All of this growth is helping us build richer insights. We expanded our repo graph, which maps how Xet-backed repositories on the Hub share bytes with each other.

Check out the current network in the image below (nodes are repositories, edges are where repos share bytes) and visit the space to see how different versions of Qwen, Llama, and Phi models are grouped together xet-team/repo-graph

Join the waitlist to get access! https://huggingface.co/join/xet

View all Posts