Hugging Face (Twitter)
RT @ClementDelangue: We need better agent evaluations! Glad to have collaborated with @Meta Super Intelligence Lab to release Gaia2 and ARE!
GPT5 (high) from @OpenAI is leading on execution, search, ambiguity, adaptability and noise.
Kimi-K2 from @Kimi_Moonshot is leading open weight.
Full blogpost: huggingface.co/blog/gaia2
RT @ClementDelangue: We need better agent evaluations! Glad to have collaborated with @Meta Super Intelligence Lab to release Gaia2 and ARE!
GPT5 (high) from @OpenAI is leading on execution, search, ambiguity, adaptability and noise.
Kimi-K2 from @Kimi_Moonshot is leading open weight.
Full blogpost: huggingface.co/blog/gaia2
Hugging Face (Twitter)
RT @NVIDIAAIDev: 🎊1M reasons to celebrate.👏
Our developer community has taken NVIDIA Cosmos Reason to more than 1M downloads on @huggingface & the top spot on the Physical Reasoning Leaderboard.
Join developers using Cosmos Reason to teach AI agents and robots to think like humans:
⚡ Get started with Cosmos Reason 1 NIM, an easy-to-use microservice for AI model deployment: https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/cosmos-reason1-7b?version=1
📈 See the leaderboard: https://huggingface.co/spaces/facebook/physical_reasoning_leaderboard
RT @NVIDIAAIDev: 🎊1M reasons to celebrate.👏
Our developer community has taken NVIDIA Cosmos Reason to more than 1M downloads on @huggingface & the top spot on the Physical Reasoning Leaderboard.
Join developers using Cosmos Reason to teach AI agents and robots to think like humans:
⚡ Get started with Cosmos Reason 1 NIM, an easy-to-use microservice for AI model deployment: https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/cosmos-reason1-7b?version=1
📈 See the leaderboard: https://huggingface.co/spaces/facebook/physical_reasoning_leaderboard
Hugging Face (Twitter)
RT @maximelabonne: We're releasing a collection of tiny task-specific models 🥳
Want to do data extraction, translation, RAG, tool use, or math on a Raspberry Pi? We got you covered! ✅
Here are a few examples ↓
RT @maximelabonne: We're releasing a collection of tiny task-specific models 🥳
Want to do data extraction, translation, RAG, tool use, or math on a Raspberry Pi? We got you covered! ✅
Here are a few examples ↓
Hugging Face (Twitter)
RT @ClementDelangue: Really cool! Evaluation dataset on HF of course: https://huggingface.co/datasets/openai/gdpval Would be interesting to create a leaderboard on hf.co/spaces as well! https://twitter.com/OpenAI/status/1971249374077518226#m
RT @ClementDelangue: Really cool! Evaluation dataset on HF of course: https://huggingface.co/datasets/openai/gdpval Would be interesting to create a leaderboard on hf.co/spaces as well! https://twitter.com/OpenAI/status/1971249374077518226#m
Hugging Face (Twitter)
RT @linguist_cat: I have a new blog post about the so-called “tokenizer-free” approach to language modeling and why it’s not tokenizer-free at all. I also talk about why people hate tokenizers so much!
RT @linguist_cat: I have a new blog post about the so-called “tokenizer-free” approach to language modeling and why it’s not tokenizer-free at all. I also talk about why people hate tokenizers so much!
Hugging Face (Twitter)
RT @LysandreJik: oLLM: a lightweight Python library for LLM inference build on top of transformers 🔥
Run qwen3-next-80B, GPT-OSS, Llama3, on consumer hardware. Awesome work by Anuar!
RT @LysandreJik: oLLM: a lightweight Python library for LLM inference build on top of transformers 🔥
Run qwen3-next-80B, GPT-OSS, Llama3, on consumer hardware. Awesome work by Anuar!
Hugging Face (Twitter)
RT @ailozovskaya: Reachy Mini was on stage for the first time! @TEDAIVienna
It proved it can be a real improv actor! Did you see it? What did you think of the show? Maybe it’s the first robot actor 🙌🏻
https://huggingface.co/blog/reachy-mini
RT @ailozovskaya: Reachy Mini was on stage for the first time! @TEDAIVienna
It proved it can be a real improv actor! Did you see it? What did you think of the show? Maybe it’s the first robot actor 🙌🏻
https://huggingface.co/blog/reachy-mini
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Hugging Face (Twitter)
RT @ClementDelangue: As Jensen mentioned with @altcap @BG2Pod @bgurley, something that few people know is that @nvidia is becoming the American open-source leader in AI, with over 300 contributions of models, datasets and apps on @huggingface in the past year.
And I have a feeling they're just getting started!
RT @ClementDelangue: As Jensen mentioned with @altcap @BG2Pod @bgurley, something that few people know is that @nvidia is becoming the American open-source leader in AI, with over 300 contributions of models, datasets and apps on @huggingface in the past year.
And I have a feeling they're just getting started!
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Hugging Face (Twitter)
RT @charmcli: If you love open models, you’ll love this: Crush now runs with @huggingface Inference Providers 🤗✨
RT @charmcli: If you love open models, you’ll love this: Crush now runs with @huggingface Inference Providers 🤗✨
Hugging Face (Twitter)
RT @Xianbao_QIAN: The largest 80B open source image generation model has been dropped on @huggingface !
Review video by AIWood below. https://twitter.com/Xianbao_QIAN/status/1971577053872099791#m
RT @Xianbao_QIAN: The largest 80B open source image generation model has been dropped on @huggingface !
Review video by AIWood below. https://twitter.com/Xianbao_QIAN/status/1971577053872099791#m
Hugging Face (Twitter)
RT @RisingSayak: Feeling so happy that we got accepted to #NeurIPS2025 😭
This was a genuinely fulfilling piece of work, and a lot of knobs needed tinkering with.
Check out the thread below for more details! https://twitter.com/RisingSayak/status/1933481434020565437#m
RT @RisingSayak: Feeling so happy that we got accepted to #NeurIPS2025 😭
This was a genuinely fulfilling piece of work, and a lot of knobs needed tinkering with.
Check out the thread below for more details! https://twitter.com/RisingSayak/status/1933481434020565437#m
Hugging Face (Twitter)
RT @RisingSayak: Today, we're shipping native support for context-parallelism to help make diffusion inference go brrr on multiple GPUs 🚀
Our CP API is made to work with two flavors of distributed attention: Ring & Ulysses.
Huge thanks to @aryanvs_ for shipping this!
Deets ⬇️
RT @RisingSayak: Today, we're shipping native support for context-parallelism to help make diffusion inference go brrr on multiple GPUs 🚀
Our CP API is made to work with two flavors of distributed attention: Ring & Ulysses.
Huge thanks to @aryanvs_ for shipping this!
Deets ⬇️