Hugging Face
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Hugging Face (Twitter)

RT @maximelabonne: LFM2-VL support with GGUF and llama.cpp πŸ₯³

You can now run these tiny, hyper-efficient VLMs on your watch!

We released quantized checkpoints for LFM2-VL-450M and LFM2-VL-1.6B on @huggingface
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Hugging Face (Twitter)

RT @multimodalart: IT'S OUT! πŸš€ MoDA: Multi-modal Diffusion Architecture for Talking Head Generation

finally a talking head:
open source πŸ‹οΈ
fast ⚑
portrait + audio-driven πŸ§‘β€πŸŽ¨πŸŽ§
with emotion control

(and yes, i built an inference system + Gradio, generate in < 15s on @huggingface spaces πŸ€—)
Hugging Face (Twitter)

RT @Xianbao_QIAN: nano-banana, qwen-image-edit, what else?

Try @StepFun_ai NextStep-1-Large-Edit

- 14B AR model
- Apache 2 license
- Demo available on @huggingface
- Pretrain model also made available

Link below
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