Hugging Face @huggingface
The AI community building the future. https://t.co/VkRPD0Vclr huggingface.co NYC and Paris and 🌏 Joined September 2016-
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Today I can finally announce that the Transformers backend for vLLM will be official way to use encoder-only (think BERT et al.) models in vLLM going forward! (1/2)
Cool reproduction of “Lora without regret” from @thinkymachines by @ben_burtenshaw in TRL
🚀 Qwen3-VL-30B-A3B-Instruct & Thinking are here! Smaller size, same powerhouse performance 💪—packed with all the capabilities of Qwen3-VL! 🔧 With just 3B active params, it’s rivaling GPT-5-Mini & Claude4-Sonnet — and often beating them across STEM, VQA, OCR, Video, Agent…
Really happy to see people reproducing the result that LoRA rank=1 closely matches full fine-tuning on many RL fine-tuning problems. Here are a couple nice ones: x.com/ben_burtenshaw… x.com/zzlccc/status/…
Really happy to see people reproducing the result that LoRA rank=1 closely matches full fine-tuning on many RL fine-tuning problems. Here are a couple nice ones: x.com/ben_burtenshaw… x.com/zzlccc/status/…
🚀 New dataset: ManyPeptidesMD huggingface.co/datasets/trans… 🤯 4.3 ms of MD across 21,700 peptides Huge thanks to @huggingface for hosting 🤗 With @majdi_has, @leonklein26, Saifuddin Syed, @dom_beaini, @mmbronstein, @AlexanderTong7, @k_neklyudov Read on 👇
just hit 4k followers on @huggingface! 🤗 couldn’t have done it without the incredible open-source AI community 💜 Grateful for your trust, support, and collaboration.
.@pmarca: "My guess is we are going to live in a world in which most aggregate AI is going to be executed probably on smaller form factors and probably most of that is going to be open source"
.@pmarca: "My guess is we are going to live in a world in which most aggregate AI is going to be executed probably on smaller form factors and probably most of that is going to be open source" https://t.co/vCHnEBsyJs
HERE THEY ARE
IBM just released Granite 4.0, their latest series of small language models! These models excel at agentic workflows (tool calling), document analysis, RAG, and more. 🚀 The "Micro" (3.4B) model can even run 100% locally in your browser on WebGPU, powered by 🤗 Transformers.js!
🦾Great📷 milestone for open-source robotics: pi0 & pi0.5 by @physical_int are now on @huggingface, fully ported to PyTorch in @LeRobotHF and validated side-by-side with OpenPI for everyone to experiment with, fine-tune & deploy in their robots! As described by Physical…
To evaluate embeddings and retrieval, we need more benchmarks beyond MTEB that are less vulnerable to overfitting. That’s why RTEB was just beta-launched! ⚖️ Both open and held-out datasets to prevent overfitting to evaluation sets. 🌍 Realistic datasets from critical…
What other features would you like to see in 𝚝𝚛𝚊𝚌𝚔𝚒𝚘, our experiment tracking library?
What other features would you like to see in 𝚝𝚛𝚊𝚌𝚔𝚒𝚘, our experiment tracking library?
another open source win: opencode + GLM 4.6 is basically Claude Code (used it all day) but insanely cheap + better TUI. And you can use it with your Hugging Face token now 🔥
another open source win: opencode + GLM 4.6 is basically Claude Code (used it all day) but insanely cheap + better TUI. And you can use it with your Hugging Face token now 🔥 https://t.co/1PXMhHKoQU
IBM has launched Granite 4.0 - a new family of open weights language models ranging in size from 3B to 32B. Artificial Analysis was provided pre-release access, and our benchmarking shows Granite 4.0 H Small (32B/9B total/active parameters) scoring an Intelligence Index of 23,…
IBM is back! They just joined Hugging Face Enterprise & released Granite 4.0 in open-source with a new hybrid Mamba/transformer architecture that reduces memory requirements without reducing accuracy much. This set of models is great for agentic workflows like tool calling,…
We just hit the top of the Hugging Face trend list with two models! 🏆 🔹HunyuanImage 3.0: The largest and most powerful open-source text-to-image model to date with over 80 billion parameters. The performance is comparable to industry flagship closed-source models.…
If you are a software engineer who is currently using closed models, what's the biggest obstacle to using open-source models instead?
Looks like my first day at @huggingface will mainly consist of traveling. Soon in Stockholm and ready for @nordicjs 😍

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Lucas Beyer (bl16) @giffmana
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Sasha Luccioni, PhD �... @SashaMTL
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Thomas Simonini @ThomasSimonini
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714 Followers 120 Following Instant access to the world’s AI. Unlimited tokens for 10K+ models.
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