Virus Total is now integrated to HF, LET'S GO This is kind of recursive when you think about it, VT runs ClamAV as well 🤓 In any case, it's a great move to further secure artefacts pushed to the Hub, as VT has a very comprehensive suit of AVs running all at once (>70)! Kudos

Wanna upgrade your agent game? With @AIatMeta , we're releasing 2 incredibly cool artefacts: - GAIA 2: assistant evaluation with a twist (new: adaptability, robustness to failure & time sensitivity) - ARE, an agent research environment to empower all! https://t.co/XzCuG8A2b8

When @sama told me at the AI summit in Paris that they were serious about releasing open-source models & asked what would be useful, I couldn’t believe it. But six months of collaboration later, here it is: Welcome to OSS-GPT on @huggingface! It comes in two sizes, for both

Please don’t download the weights all at once 🙏 or our servers will melt

I'm notorious for turning down 99% of the hundreds of requests every months to join calls (because I hate calls!). The @huggingface team saw an opportunity and bullied me in accepting to do a zoom call with users who upgrade to pro. I only caved under one strict condition:

Starting today you can run any of the 100K+ GGUFs on Hugging Face directly with Docker Run! All of it one single line: docker model run https://t.co/2no6KMYrtM Excited to see how y'all will use it

Thrilled to finally share what we've been working on for months at @huggingface 🤝@pollenrobotics Our first robot: Reachy Mini A dream come true: cute and low priced, hackable yet easy to use, powered by open-source and the infinite community. Tiny price, small size, huge

Today is a big day, we're introducing the first version of the HF MCP server 🔥 🧵

Continuing to move all the LFS bytes into Xet storage on Hugging Face! Currently up to: 🤗 5,500 users and orgs with Xet access 🚀 150,000 Xet-backed models and datasets 🤯 4+ PB managed by Xet How much more to go? If the Hub's top storage users are any indication: many bytes

A quick update on the future of the `transformers` library! In order to provide a source of truth for all models, we are working with the rest of the ecosystem to make the modeling code the standard. A joint effort with vLLM, LlamaCPP, SGLang, Mlx, Qwen, Glm, Unsloth, Axoloth,

The entire Xet team is so excited to bring Llama 4 to the @huggingface community. Every byte downloaded comes through our infrastructure ❤️ 🤗 ❤️ 🤗 ❤️ 🤗 Read the release post to see more about these SOTA models. https://t.co/cGf0L1wHOX

Meta COOKED! Llama 4 is out! Llama 4 Maverick (402B) and Scout (109B) - natively multimodal, multilingual and scaled to 10 MILLION context! BEATS DeepSeek v3🔥 Llama 4 Maverick: > 17B active parameters, 128 experts, 400B total parameters > Beats GPT-4o & Gemini 2.0 Flash,

Llama 4 models just dropped on @huggingface

EU open source AI is BACK go go go @MistralAI

I analyzed all public GGUF models on the Hub for the llama-cpp-python chat template vulnerability. Good news: out of 116K+ GGUF models, none are currently dangerous! 🧵

Text Generation Inference v2.0.0 is the fastest open-source implementation of Cohere Command R+! Command R+ is the best open-weights model. Leveraging the power of Medusa heads, TGI achieves unparalleled speeds with a latency as low as 9ms per token for a 104B model!

What if you could casually access your remote GPU in HF Spaces from the comfort of your local VSCode 🤯 EDIT: did I mention we have an insane Infra team at @huggingface??

🤗 Transformers v4.35 is out, and safetensors serialization is now 𝐭𝐡𝐞 𝐝𝐞𝐟𝐚𝐮𝐥𝐭. Saving a torch model using `save_pretrained` will now save it as a safetensors file containing only tensors. Loading files in this format provides a much safer experience, why?

Introducing... HF Training Cluster as a service! 🔥🔥 Access to a large compute cluster is key for large-scale model training, but historically it's been hard to secure access to large numbers of hardware accelerators, even with a hefty budget. 💰 With Training cluster as a

Excited to announce that Dockerfiles deployments on high-performance MicroVMs is now GA! 🚀 https://t.co/oYeDz3eS55 Deploy anything using a Dockerfile in seconds at the edge with zero config. 🤟🌎 Fun fact 💡: @gokoyeb builders are much faster than building containers on my