Hugging Face
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Hugging Face (Twitter)

RT @allen_ai: We’re releasing early pre-training checkpoints for OLMo-2-1B to help study how LLM capabilities emerge. They’re fine-grained snapshots intended for analysis, reproduction, and comparison. 🧡
Hugging Face (Twitter)

RT @RisingSayak: It's out friends!

Really great to see the state of things in image edits, video fidelity being pushed further and further, thanks to the community!

This release also features new fine-tuning scripts for Qwen-Image and Flux Kontext (with support for image inputs). So, get busy making these models your own πŸ€—

We also improved the loading speed of Diffusers pipelines & models. This will become particularly evident when operating with large models like Wan, Qwen, etc.

Release notes: https://github.com/huggingface/diffusers/releases/tag/v0.35.0
Hugging Face (Twitter)

RT @ClementDelangue: Just crossed 20M monthly requests with @huggingface inference providers, our router for open models.

@CerebrasSystems @novita_labs & @FireworksAI_HQ are growing the fastest!

It's now powering the official open playground from @OpenAI & integrate with apps like @cline & @roo_code.

Let's go!
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Hugging Face (Twitter)

RT @dylan_ebert_: OmniPart: Part-Aware 3D Generation

πŸͺ› Semantic decoupling
πŸ™οΈ Structural cohesion
πŸ€— Free and open source

demo available on Hugging Face
Hugging Face (Twitter)

RT @BrigitteTousi: Meet Surya: the newest open-source model from @IBM and @NASA that predicts solar storms before they fry satellites or knock out the grid. And it’s free for researchers, builders, and guardians of critical infrastructure on @huggingface. 🧡
Hugging Face (Twitter)

RT @IBM: In collaboration with @NASA, we've open-sourced Surya on @huggingface β€” a new foundation model designed to help researchers protect infrastructure through accessible, accurate modeling of space weather.

It's going to totally change how we forecast solar storms. See how.🧡
Hugging Face (Twitter)

Sun's out, models out. 😎
@IBM & @NASA dropped Surya, an open-source heliophysics model trained on 14 years of observations from NASA’s Solar Dynamics Observatory, and it's πŸ”₯πŸ”₯πŸ”₯.
Hugging Face (Twitter)

RT @joelniklaus: ✨ Very happy to announce I'm joining @huggingface next week! πŸ€—

I'm based in the amazing Bern office πŸ‡¨πŸ‡­πŸ”οΈ alongside @lvwerra @_lewtun @andimarafioti working with the Language Model Dataset team to champion open datasets and models while supporting the open-science community.
Hugging Face (Twitter)

RT @ClementDelangue: Tired: building AI for waifus & chatbots
Wired: building AI for space exploration!

Excited to introduce Surya, the first open-source AI foundation model for heliophysics, released by @NASA & @IBM on @huggingface!

It's a 366M-parameter transformer model pretrained on 9 years (β‰ˆ218 TB) of multi-instrument data from Nasa's Solar Dynamics Observatory, including 8 Atmospheric Imaging Assembly channels and 5 Helioseismic and Magnetic Imager products. It can be used to understand solar dynamics and predicting space weather which is critical for protecting satellites, power grids, communication systems, and astronauts.

Model: https://huggingface.co/nasa-ibm-ai4science/Surya-1.0
Organization: https://huggingface.co/nasa-ibm-ai4science

πŸš€πŸš€πŸš€ https://twitter.com/IBM/status/1958152244504768949#m
Hugging Face (Twitter)

RT @NVIDIAAIDev: βœ… Half a million downloads? No big deal.

#NVIDIACosmos Reason β€” an open, customizable, 7B-parameter VLM β€” is helping shape the future of physical AI & robotics. πŸ€–

See why it's one of the top 10 most downloaded NVIDIA models on @huggingface right now ➑️ https://huggingface.co/nvidia/Cosmos-Reason1-7B
Hugging Face (Twitter)

RT @keunwoochoi: its test set is already available on @huggingface! definitely rare to find a music recommendation dataset, that is multimodal and conversational. so rare that there might be only one..

https://huggingface.co/datasets/talkpl-ai/TalkPlayData-2
Hugging Face (Twitter)

RT @Xianbao_QIAN: @Xianbao_QIAN: ByteDance Seed OSS is now available on @huggingface!!!

- 36B, Apache2
- Great for ablation research, including Base, base without synthetic instruction data and instruction variants
- Great performance on reasoning & Agents
- Native 512k long context
- Flexible thinking budget https://twitter.com/Fazziekey/status/1958336798901604863#m
Hugging Face (Twitter)

RT @multimodalart: Qwen Image Edit works too well with lightx2v LoRA to run with just 8 and 4 steps, wtf?

in my experience, 8 steps keeps the quality of the edits at the same level as the original model, at a 12x speedup πŸ’¨

(ofc i built a demo for it)
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Hugging Face (Twitter)

RT @NielsRogge: Exciting model addition to @huggingface Transformers: MatchAnything is now available! πŸ”₯

A strong universal image matching model pre-trained on a large scale involving different imaging modalities

Exhibits remarkable generalizability on unseen domains, Apache 2.0 licensed!