
Pied Piper
company
AI & ML interests
None defined yet.
piedpiper's activity
Post
2630
Llama 4 is in transformers!
Fun example using the instruction-tuned Maverick model responding about two images, using tensor parallel for maximum speed.
From https://huggingface.co/blog/llama4-release
Fun example using the instruction-tuned Maverick model responding about two images, using tensor parallel for maximum speed.
From https://huggingface.co/blog/llama4-release
Post
1938
Llama models (arguably the most successful open AI models of all times) just represented 3% of total model downloads on Hugging Face in March.
People and media like stories of winner takes all & one model/company to rule them all but the reality is much more nuanced than this!
Kudos to all the small AI builders out there!
People and media like stories of winner takes all & one model/company to rule them all but the reality is much more nuanced than this!
Kudos to all the small AI builders out there!
Post
3972
Before 2020, most of the AI field was open and collaborative. For me, that was the key factor that accelerated scientific progress and made the impossible possible—just look at the “T” in ChatGPT, which comes from the Transformer architecture openly shared by Google.
Then came the myth that AI was too dangerous to share, and companies started optimizing for short-term revenue. That led many major AI labs and researchers to stop sharing and collaborating.
With OAI and sama now saying they're willing to share open weights again, we have a real chance to return to a golden age of AI progress and democratization—powered by openness and collaboration, in the US and around the world.
This is incredibly exciting. Let’s go, open science and open-source AI!
Then came the myth that AI was too dangerous to share, and companies started optimizing for short-term revenue. That led many major AI labs and researchers to stop sharing and collaborating.
With OAI and sama now saying they're willing to share open weights again, we have a real chance to return to a golden age of AI progress and democratization—powered by openness and collaboration, in the US and around the world.
This is incredibly exciting. Let’s go, open science and open-source AI!
Post
2239
Very interesting security section by
@yjernite
@lvwerra
@reach-vb
@dvilasuero
& the team replicating R1. Broadly applicable to most open-source models & some to APIs (but APIs have a lot more additional risks because you're not in control of the underlying system):
https://huggingface.co/blog/open-r1/update-4#is-it-safe
https://huggingface.co/blog/open-r1/update-4#is-it-safe
Post
1572
A repository is created every ~15 secs on Hugging Face so
@kramp
added a "Getting Started" to make it easier & a model release checklist: https://huggingface.co/docs/hub/model-release-checklist
What are you uploading today?
What are you uploading today?
Post
2591
Nice new space to see how fast your personal or organization followers are growing on HF:
julien-c/follow-history
As you can see, I still have more followers than @julien-c even if he's trying to change this by building such cool spaces 😝😝😝
julien-c/follow-history
As you can see, I still have more followers than @julien-c even if he's trying to change this by building such cool spaces 😝😝😝
Post
7300
I was chatting with
@peakji
, one of the cofounders of Manu AI, who told me he was on Hugging Face (very cool!).
He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference.
As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference.
As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
Post
4687
10,000+ models based on Deepseek R1 have been publicly shared on Hugging Face! Which ones are your favorite ones: https://huggingface.co/models?sort=trending&search=r1. Truly game-changer!
Post
5925
Super happy to welcome Nvidia as our latest enterprise hub customer. They have almost 2,000 team members using Hugging Face, and close to 20,000 followers of their org. Can't wait to see what they'll open-source for all of us in the coming months!
Nvidia's org:
nvidia
Enterprise hub: https://huggingface.co/enterprise
Nvidia's org:

Enterprise hub: https://huggingface.co/enterprise
Post
2847
What are the best organizations to follow on
@huggingface
?
On top of my head:
- Deepseek (35,000 followers):
deepseek-ai
- Meta Llama (27,000 followers):
meta-llama
- Black Forrest Labs (11,000 followers):
black-forest-labs
- OpenAI (5,000 followers):
openai
- Nvidia (16,000 followers):
nvidia
- MIcrosoft (9,000 followers):
microsoft
- AllenAI (2,000 followers):
allenai
- Mistral (5,000 followers):
mistralai
- XAI (600 followers):
xai-org
- Stability AI (16,000 followers):
stabilityai
- Qwen (16,000 followers):
Qwen
- GoogleAI (8,000 followers):
google
- Unsloth (3,000 followers):
unsloth
- Bria AI (4,000 followers):
briaai
- NousResearch (1,300 followers):
NousResearch
Bonus, the agent course org with 17,000 followers:
agents-course
On top of my head:
- Deepseek (35,000 followers):

- Meta Llama (27,000 followers):

- Black Forrest Labs (11,000 followers):

- OpenAI (5,000 followers):

- Nvidia (16,000 followers):

- MIcrosoft (9,000 followers):

- AllenAI (2,000 followers):

- Mistral (5,000 followers):

- XAI (600 followers):

- Stability AI (16,000 followers):

- Qwen (16,000 followers):

- GoogleAI (8,000 followers):

- Unsloth (3,000 followers):

- Bria AI (4,000 followers):

- NousResearch (1,300 followers):

Bonus, the agent course org with 17,000 followers:

Post
3503
We crossed 1B+ tokens routed to inference providers partners on HF, that we released just a few days ago.
Just getting started of course but early users seem to like it & always happy to be able to partner with cool startups in the ecosystem.
Have you been using any integration and how can we make it better?
https://huggingface.co/blog/inference-providers
Just getting started of course but early users seem to like it & always happy to be able to partner with cool startups in the ecosystem.
Have you been using any integration and how can we make it better?
https://huggingface.co/blog/inference-providers
Post
7261
AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!
Post
4383
Cool to see
@ylecun
joining the top 10 of most followed on HF!
(and leaderboard by @mvaloatto is here: mvaloatto/TCTF)
(and leaderboard by @mvaloatto is here: mvaloatto/TCTF)
Post
2094
Coming back to Paris Friday to open our new Hugging Face office!
We're at capacity for the party but add your name in the waiting list as we're trying to privatize the passage du Caire for extra space for robots 🤖🦾🦿
https://t.co/enkFXjWndJ
We're at capacity for the party but add your name in the waiting list as we're trying to privatize the passage du Caire for extra space for robots 🤖🦾🦿
https://t.co/enkFXjWndJ