Hugging Face (Twitter)
RT @localghost: putting the oss model weights on a usb is such a good merch idea
RT @localghost: putting the oss model weights on a usb is such a good merch idea
Hugging Face (Twitter)
RT @jxmnop: if you want to try the data, here you go, it's on huggingface:
https://huggingface.co/datasets/jxm/gpt-oss20b-samples
let me know what you find!
RT @jxmnop: if you want to try the data, here you go, it's on huggingface:
https://huggingface.co/datasets/jxm/gpt-oss20b-samples
let me know what you find!
Hugging Face (Twitter)
RT @XiaomiMiMo: 🚀 MiMo‑VL 2508 is live! Same size, much smarter 🚀
We’ve upgraded performance, thinking control, and overall user experience.
📈 Benchmark gains across image + video: MMMU 70.6, VideoMME 70.8. Consistent improvements across the board.
🤖 Thinking Control: toggle reasoning with no_think.
On (default): full reasoning visible;
Off: direct answers, no reasoning ⚡⚡;
❤️ Real‑world user experience: our VLM Arena rating improved from 1093.9 → 1131.2 (+37.3).
More capable, flexible, and reliable in everyday tasks.
Feedback welcome.
🤗 RL Version: https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-RL-2508
🤗 SFT Version: https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-SFT-2508
#XiaomiMiMo #MiMoVL
RT @XiaomiMiMo: 🚀 MiMo‑VL 2508 is live! Same size, much smarter 🚀
We’ve upgraded performance, thinking control, and overall user experience.
📈 Benchmark gains across image + video: MMMU 70.6, VideoMME 70.8. Consistent improvements across the board.
🤖 Thinking Control: toggle reasoning with no_think.
On (default): full reasoning visible;
Off: direct answers, no reasoning ⚡⚡;
❤️ Real‑world user experience: our VLM Arena rating improved from 1093.9 → 1131.2 (+37.3).
More capable, flexible, and reliable in everyday tasks.
Feedback welcome.
🤗 RL Version: https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-RL-2508
🤗 SFT Version: https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-SFT-2508
#XiaomiMiMo #MiMoVL
Hugging Face (Twitter)
RT @MaziyarPanahi: Academic visibility unlocked!! 🤗
This is super cool! Now your papers show up directly on your @huggingface profile!!! 🔥
RT @MaziyarPanahi: Academic visibility unlocked!! 🤗
This is super cool! Now your papers show up directly on your @huggingface profile!!! 🔥
Hugging Face (Twitter)
RT @Nouamanetazi: 📢 The Ultra-Scale Playbook is now available in print!
📚A deep dive into training Large Language Models efficiently on GPU clusters — from fundamentals to advanced parallelism.
Order here
👉
RT @Nouamanetazi: 📢 The Ultra-Scale Playbook is now available in print!
📚A deep dive into training Large Language Models efficiently on GPU clusters — from fundamentals to advanced parallelism.
Order here
👉
Lulu
The Ultra-Scale Playbook
Embark on a journey to orchestrate thousands of GPUs to scale LLM training to the largest compute clusters today. Starting with the memory and compute anatomy of model training we then explore 5 dimensions of parallelism to distribute training efficiently.…
Hugging Face (Twitter)
RT @Zai_org: Introducing GLM-4.5V: a breakthrough in open-source visual reasoning
GLM-4.5V delivers state-of-the-art performance among open-source models in its size class, dominating across 41 benchmarks.
Built on the GLM-4.5-Air base model, GLM-4.5V inherits proven techniques from GLM-4.1V-Thinking while achieving effective scaling through a powerful 106B-parameter MoE architecture.
Hugging Face: https://huggingface.co/zai-org/GLM-4.5V
GitHub: github.com/zai-org/GLM-V
Z.ai API: https://docs.z.ai/guides/vlm/glm-4.5v
Try it now: chat.z.ai
RT @Zai_org: Introducing GLM-4.5V: a breakthrough in open-source visual reasoning
GLM-4.5V delivers state-of-the-art performance among open-source models in its size class, dominating across 41 benchmarks.
Built on the GLM-4.5-Air base model, GLM-4.5V inherits proven techniques from GLM-4.1V-Thinking while achieving effective scaling through a powerful 106B-parameter MoE architecture.
Hugging Face: https://huggingface.co/zai-org/GLM-4.5V
GitHub: github.com/zai-org/GLM-V
Z.ai API: https://docs.z.ai/guides/vlm/glm-4.5v
Try it now: chat.z.ai
Hugging Face (Twitter)
RT @reach_vb: OpenAI gpt-oss has over 5M downloads, 400+ fine-tunes and *the* most liked release this year so far! 🔥
Great job @OpenAI 🤗
RT @reach_vb: OpenAI gpt-oss has over 5M downloads, 400+ fine-tunes and *the* most liked release this year so far! 🔥
Great job @OpenAI 🤗
Hugging Face (Twitter)
RT @fdaudens: GPT-OSS:
- 5M downloads in <1 week on @huggingface 🚀
- 400 new models
- already outpacing DeepSeek R1’s launch numbers, and that’s without counting inference calls
- also the most-liked release of any major LLM this summer
RT @fdaudens: GPT-OSS:
- 5M downloads in <1 week on @huggingface 🚀
- 400 new models
- already outpacing DeepSeek R1’s launch numbers, and that’s without counting inference calls
- also the most-liked release of any major LLM this summer
Hugging Face (Twitter)
RT @romainhuet: Over 5M downloads in under a week for our @OpenAI open models, and 400+ fine-tunes on @huggingface! 🤗 https://twitter.com/reach_vb/status/1954909541805801799#m
RT @romainhuet: Over 5M downloads in under a week for our @OpenAI open models, and 400+ fine-tunes on @huggingface! 🤗 https://twitter.com/reach_vb/status/1954909541805801799#m
Hugging Face (Twitter)
RT @BrigitteTousi: This Wednesday Aug. 13 at 11 am EDT, join @huggingface on Discord for an AMA with our CEO @ClementDelangue.
No bullshit, just real talk.
Sign up link in thread. 🤗
RT @BrigitteTousi: This Wednesday Aug. 13 at 11 am EDT, join @huggingface on Discord for an AMA with our CEO @ClementDelangue.
No bullshit, just real talk.
Sign up link in thread. 🤗
Hugging Face (Twitter)
RT @Xianbao_QIAN: The new talking head model, EchoMimicV3, from Ant Group seems to be pretty cool.
Based on Wan 2.1 1.3B
RT @Xianbao_QIAN: The new talking head model, EchoMimicV3, from Ant Group seems to be pretty cool.
Based on Wan 2.1 1.3B
Hugging Face (Twitter)
RT @gdb: initial gpt-oss download stats looking exciting! https://twitter.com/reach_vb/status/1954909541805801799#m
RT @gdb: initial gpt-oss download stats looking exciting! https://twitter.com/reach_vb/status/1954909541805801799#m
Hugging Face (Twitter)
RT @vdivyasharma: 📢 Excited to release IndicSynth, a large-scale synthetic speech dataset for 12 low-resource Indian languages — winner of the Outstanding Paper Award at #ACL2025! 🏆
🔗 Dataset: https://huggingface.co/datasets/vdivyasharma/IndicSynth
📄 Paper: https://aclanthology.org/2025.acl-long.1070/
#SBILab #IIITD #NLProc #ACL2025NLP
RT @vdivyasharma: 📢 Excited to release IndicSynth, a large-scale synthetic speech dataset for 12 low-resource Indian languages — winner of the Outstanding Paper Award at #ACL2025! 🏆
🔗 Dataset: https://huggingface.co/datasets/vdivyasharma/IndicSynth
📄 Paper: https://aclanthology.org/2025.acl-long.1070/
#SBILab #IIITD #NLProc #ACL2025NLP
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Hugging Face (Twitter)
RT @dylan_ebert_: InteriorGS: 3D Gaussian Splatting Dataset of Semantically Labeled Indoor Scenes
⭐️new dataset with:
- high-quality gaussian splatting scenes
- labeled bounding boxes
- navigation maps
available on hugging face
RT @dylan_ebert_: InteriorGS: 3D Gaussian Splatting Dataset of Semantically Labeled Indoor Scenes
⭐️new dataset with:
- high-quality gaussian splatting scenes
- labeled bounding boxes
- navigation maps
available on hugging face
Hugging Face (Twitter)
RT @multimodalart: ok i can't take it anymore: announcing the chatgpt image yellow tint corrector
a @huggingface space that runs locally on your browser to fix the yellow tint of the chatgpt generated images https://twitter.com/SherylHsu02/status/1954966109851119921#m
RT @multimodalart: ok i can't take it anymore: announcing the chatgpt image yellow tint corrector
a @huggingface space that runs locally on your browser to fix the yellow tint of the chatgpt generated images https://twitter.com/SherylHsu02/status/1954966109851119921#m
Hugging Face (Twitter)
RT @lunarflu1: We're excited to announce we're doing an AMA with @ClementDelangue the CEO of @huggingface tomorrow! Feel free to hop in and ask your open sourcey questions! 🚀
https://discord.com/events/879548962464493619/1404451892179763311
RT @lunarflu1: We're excited to announce we're doing an AMA with @ClementDelangue the CEO of @huggingface tomorrow! Feel free to hop in and ask your open sourcey questions! 🚀
https://discord.com/events/879548962464493619/1404451892179763311
Hugging Face (Twitter)
RT @Xianbao_QIAN: Very impressive multimodal understanding model from @Zai_org
- 106B A12B model
- MIT license model weights
- Supports grounding
- Able to handle GUI tasks
- Image/video understanding & long doc parsing.
RT @Xianbao_QIAN: Very impressive multimodal understanding model from @Zai_org
- 106B A12B model
- MIT license model weights
- Supports grounding
- Able to handle GUI tasks
- Image/video understanding & long doc parsing.
Hugging Face (Twitter)
RT @xunhuang1995: World model = Action Conditioned Self-Forcing
Very impressive work from @Skywork_ai. This is a glimpse into the future, and it's open-source to everyone! https://twitter.com/Skywork_ai/status/1955237399912648842#m
RT @xunhuang1995: World model = Action Conditioned Self-Forcing
Very impressive work from @Skywork_ai. This is a glimpse into the future, and it's open-source to everyone! https://twitter.com/Skywork_ai/status/1955237399912648842#m
Hugging Face (Twitter)
RT @levelsio: I really really like @jandotai
It's a very friendly app to locally run LLMs, great for privacy
I've tried others like LM Studio and Ollama and they're nice but very engineer-built, a bit too difficult for me
Jan is simple and cute and pretty and a great alternative to talk to without sending your data (and secrets ;)) to big AI providers
You can even run remote provider models too via API, if you do want that!
Also they're very responsive to feedback and always improving the app
I think there is space for both locally run LLM apps and cloud LLM apps, locally run makes sense if you wanna talk about very private stuff, therapy etc. It's really important people can have that without fearing your data might leak in the future
(I'm not affiliated or paid, just really like it!) https://twitter.com/jandotai/status/1955176280535732415#m
RT @levelsio: I really really like @jandotai
It's a very friendly app to locally run LLMs, great for privacy
I've tried others like LM Studio and Ollama and they're nice but very engineer-built, a bit too difficult for me
Jan is simple and cute and pretty and a great alternative to talk to without sending your data (and secrets ;)) to big AI providers
You can even run remote provider models too via API, if you do want that!
Also they're very responsive to feedback and always improving the app
I think there is space for both locally run LLM apps and cloud LLM apps, locally run makes sense if you wanna talk about very private stuff, therapy etc. It's really important people can have that without fearing your data might leak in the future
(I'm not affiliated or paid, just really like it!) https://twitter.com/jandotai/status/1955176280535732415#m