Hugging Face (Twitter)
RT @ctnzr: Today we're releasing NVIDIA Nemotron Nano v2 - a 9B hybrid SSM that is 6X faster than similarly sized models, while also being more accurate.
Along with this model, we are also releasing most of the data we used to create it, including the pretraining corpus.
Links to the models, datasets, and tech report are here:
https://research.nvidia.com/labs/adlr/NVIDIA-Nemotron-Nano-2/
RT @ctnzr: Today we're releasing NVIDIA Nemotron Nano v2 - a 9B hybrid SSM that is 6X faster than similarly sized models, while also being more accurate.
Along with this model, we are also releasing most of the data we used to create it, including the pretraining corpus.
Links to the models, datasets, and tech report are here:
https://research.nvidia.com/labs/adlr/NVIDIA-Nemotron-Nano-2/
Hugging Face (Twitter)
RT @NielsRogge: Ok ngl this is cool! The end of LoRa's??
Powered by @FAL as inference provider. Try it out below! https://twitter.com/Alibaba_Qwen/status/1957500569029079083#m
RT @NielsRogge: Ok ngl this is cool! The end of LoRa's??
Powered by @FAL as inference provider. Try it out below! https://twitter.com/Alibaba_Qwen/status/1957500569029079083#m
This media is not supported in your browser
VIEW IN TELEGRAM
Hugging Face (Twitter)
RT @maximelabonne: LFM2-VL support with GGUF and llama.cpp 🥳
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
RT @maximelabonne: LFM2-VL support with GGUF and llama.cpp 🥳
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
This media is not supported in your browser
VIEW IN TELEGRAM
Hugging Face (Twitter)
RT @multimodalart: IT'S OUT! 🚀 MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
finally a talking head:
open source 🏋️
fast ⚡
portrait + audio-driven 🧑🎨🎧
with emotion control
(and yes, i built an inference system + Gradio, generate in < 15s on @huggingface spaces 🤗)
RT @multimodalart: IT'S OUT! 🚀 MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
finally a talking head:
open source 🏋️
fast ⚡
portrait + audio-driven 🧑🎨🎧
with emotion control
(and yes, i built an inference system + Gradio, generate in < 15s on @huggingface spaces 🤗)
Hugging Face (Twitter)
RT @HaihaoShen: GLMs:
https://huggingface.co/Intel/GLM-4.5-gguf-q2ks-mixed-AutoRound
https://huggingface.co/Intel/GLM-4.5V-int4-AutoRound
#intel #autoround @thukeg
RT @HaihaoShen: GLMs:
https://huggingface.co/Intel/GLM-4.5-gguf-q2ks-mixed-AutoRound
https://huggingface.co/Intel/GLM-4.5V-int4-AutoRound
#intel #autoround @thukeg
huggingface.co
Intel/GLM-4.5-int4-mixed-AutoRound · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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
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. 🧵
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 🤗
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
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 🤗
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: Deepseek just released a new model! https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
RT @ClementDelangue: Deepseek just released a new model! https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
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!
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!
This media is not supported in your browser
VIEW IN TELEGRAM
Hugging Face (Twitter)
RT @dylan_ebert_: OmniPart: Part-Aware 3D Generation
🪛 Semantic decoupling
🏙️ Structural cohesion
🤗 Free and open source
demo available on Hugging Face
RT @dylan_ebert_: OmniPart: Part-Aware 3D Generation
🪛 Semantic decoupling
🏙️ Structural cohesion
🤗 Free and open source
demo available on Hugging Face
This media is not supported in your browser
VIEW IN TELEGRAM
Hugging Face (Twitter)
RT @Alibaba_Qwen: Thank you! Qwen-Image-Edit is now available in anycoder! https://twitter.com/_akhaliq/status/1957519569016238268#m
RT @Alibaba_Qwen: Thank you! Qwen-Image-Edit is now available in anycoder! https://twitter.com/_akhaliq/status/1957519569016238268#m
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. 🧵
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 — 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.🧵
RT @IBM: In collaboration with @NASA, we've open-sourced Surya on @huggingface — 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 🔥🔥🔥.
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 🔥🔥🔥.
Hugging Face (Twitter)
RT @joelniklaus: ✨ Very happy to announce I'm joining @huggingface next week! 🤗
I'm based in the amazing Bern office 🇨🇭🏔️ alongside @lvwerra @_lewtun @andimarafioti working with the Language Model Dataset team to champion open datasets and models while supporting the open-science community.
RT @joelniklaus: ✨ Very happy to announce I'm joining @huggingface next week! 🤗
I'm based in the amazing Bern office 🇨🇭🏔️ 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 (≈218 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
🚀🚀🚀 https://twitter.com/IBM/status/1958152244504768949#m
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 (≈218 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
🚀🚀🚀 https://twitter.com/IBM/status/1958152244504768949#m