kumpaï !
I wish
human -> cat
brain
this holliday ~~ enjoy
Joseph [open/acc] Pollack PRO
Tonic
AI & ML interests
🤖Making robots to help people learn things quicker 👩🏻🚀🚀
Recent Activity
liked
a dataset
about 15 hours ago
uv-scripts/dataset-stats
liked
a dataset
1 day ago
lingjie23/MultimodalCodingDataset
liked
a Space
1 day ago
Qwen/Qwen-Image-Edit-2511
Organizations
reacted to
leonardlin's
post with 🔥
8 days ago
Post
2164
We just released our latest Shisa V2.1 Japanese multi-lingual models: https://huggingface.co/collections/shisa-ai/shisa-v21
Besides updates to our 14B, and 70B, we have a new LFM2-based 1.2B, Llama 3.2-based 3B, and Qwen 3-based 8B, all with class-leading Japanese language capabilities.
Per usual, lots of details in the Model Cards for those interested.
Besides updates to our 14B, and 70B, we have a new LFM2-based 1.2B, Llama 3.2-based 3B, and Qwen 3-based 8B, all with class-leading Japanese language capabilities.
Per usual, lots of details in the Model Cards for those interested.
- 1 reply
reacted to
Jofthomas's
post with 🚀
22 days ago
Post
3486
The new Mistral 3 models are here !
Today, we announce Mistral 3, the next generation of Mistral models. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters.
All models are released under the Apache 2.0 license.
Ministrals :
https://huggingface.co/collections/mistralai/ministral-3
Mistral Large 3:
https://huggingface.co/collections/mistralai/mistral-large-3
Today, we announce Mistral 3, the next generation of Mistral models. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters.
All models are released under the Apache 2.0 license.
Ministrals :
https://huggingface.co/collections/mistralai/ministral-3
Mistral Large 3:
https://huggingface.co/collections/mistralai/mistral-large-3
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- 2 replies
very excited to test indeed !
reacted to
Jofthomas's
post with 🔥
22 days ago
Post
3486
The new Mistral 3 models are here !
Today, we announce Mistral 3, the next generation of Mistral models. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters.
All models are released under the Apache 2.0 license.
Ministrals :
https://huggingface.co/collections/mistralai/ministral-3
Mistral Large 3:
https://huggingface.co/collections/mistralai/mistral-large-3
Today, we announce Mistral 3, the next generation of Mistral models. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters.
All models are released under the Apache 2.0 license.
Ministrals :
https://huggingface.co/collections/mistralai/ministral-3
Mistral Large 3:
https://huggingface.co/collections/mistralai/mistral-large-3
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- 2 replies
replied to
their
post
about 1 month ago
😅😅😅 so many top french researchers ! with all my appologies , and will absolutely send you some fan mail soon 🚀🚀🚀
replied to
their
post
about 1 month ago
hey hey i'm just waiting for @blanchon and the liquid ai team to reach out to me , it's been two months with radio silence and so we're waiting on the "budget" to really try to start this project
reacted to
hiyouga's
post with 🔥
about 1 month ago
Post
2329
🚀 We're excited to support the ERNIE AI Developer Challenge!
Fine-tune ERNIE with LLaMA-Factory and compete for $3,000 prizes by building the most impactful model — with submissions reviewed by the core developers of LLaMA-Factory.
👉 Join Now: https://baiduernieai.devpost.com/?utm_source=LLaMAFactory&utm_medium=partner&utm_campaign=ERNIE+AI+Developer+Challenge
Fine-tune ERNIE with LLaMA-Factory and compete for $3,000 prizes by building the most impactful model — with submissions reviewed by the core developers of LLaMA-Factory.
👉 Join Now: https://baiduernieai.devpost.com/?utm_source=LLaMAFactory&utm_medium=partner&utm_campaign=ERNIE+AI+Developer+Challenge
reacted to
sergiopaniego's
post with 🔥
about 1 month ago
Post
2591
we've just added several example scripts to TRL showing how to train models with GRPO using some of the new OpenEnv environments
train a model to interact with a browser (🎮 BrowserGym Env), play Wordle (🎮 Wordle Env) and moooore!
TRL (GRPO + vLLM) + OpenEnv! ⚡️
📝 go play with them: https://github.com/huggingface/trl/tree/main/examples/scripts/openenv
📝 examples list: https://huggingface.co/docs/trl/main/en/example_overview#scripts
train a model to interact with a browser (🎮 BrowserGym Env), play Wordle (🎮 Wordle Env) and moooore!
TRL (GRPO + vLLM) + OpenEnv! ⚡️
📝 go play with them: https://github.com/huggingface/trl/tree/main/examples/scripts/openenv
📝 examples list: https://huggingface.co/docs/trl/main/en/example_overview#scripts
reacted to
grimjim's
post with 👍
about 1 month ago
Post
5030
Implemented a proof of concept sampler in pure PyTorch and transformers.
Max P consists of a dynamic token filter which applies Winsorization to cap the probabilties of top tokens. Specifically, a base probability in the range of [0,1] is used to cap individual token probability; the sampler then redistributes excess proportionally.
https://github.com/jim-plus/maxp-sampler-poc
Combined with Temperature and Min P, this could represent a more intuitive way of reducing repetition in text generation.
Max P consists of a dynamic token filter which applies Winsorization to cap the probabilties of top tokens. Specifically, a base probability in the range of [0,1] is used to cap individual token probability; the sampler then redistributes excess proportionally.
https://github.com/jim-plus/maxp-sampler-poc
Combined with Temperature and Min P, this could represent a more intuitive way of reducing repetition in text generation.
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- 2 replies
replied to
salma-remyx's
post
2 months ago
very cool AG2 implementation
reacted to
mitkox's
post with 🔥
2 months ago
Post
1852
I’m just reading that Ryzen AI 395 has to be 30% slower than DGX Spark in LLM inferencing… and only 96GB GPU RAM… good I haven’t RTFM upfront, so I made the AMD faster with 128GB unified RAM 🫡
Z2 mini G1a can run Qwen3 Coder 30B BF16 at 26.8 tok/sec in ~60GB GPU RAM
Z2 mini G1a can run Qwen3 Coder 30B BF16 at 26.8 tok/sec in ~60GB GPU RAM
reacted to
piercus's
post with ❤️👍
2 months ago
Post
2918
We've just forked LBM to reproduce the LBM eraser results
Our fork : https://github.com/finegrain-ai/LBM
LBM paper: LBM: Latent Bridge Matching for Fast Image-to-Image Translation (2503.07535)
LBM relighting demo : jasperai/LBM_relighting
Our fork : https://github.com/finegrain-ai/LBM
LBM paper: LBM: Latent Bridge Matching for Fast Image-to-Image Translation (2503.07535)
LBM relighting demo : jasperai/LBM_relighting
- 2 replies
reacted to
Molbap's
post with ❤️🔥
3 months ago
Post
3280
🚀 New blog: Maintain the unmaintainable – 1M+ Python LOC, 400+ models
How do you stop a million-line library built by thousands of contributors from collapsing under its own weight?
At 🤗 Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.
🔍 Inside the post:
– One Model, One File: readability first — you can still open a modeling file and see the full logic, top to bottom.
– Modular Transformers: visible inheritance that cuts maintenance cost by ~15× while keeping models readable.
– Config-Driven Performance: FlashAttention, tensor parallelism, and attention scheduling are config-level features, not rewrites.
Written with @lysandre ,@pcuenq and @yonigozlan , this is a deep dive into how Transformers stays fast, open, and maintainable.
Read it here → transformers-community/Transformers-tenets
How do you stop a million-line library built by thousands of contributors from collapsing under its own weight?
At 🤗 Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.
🔍 Inside the post:
– One Model, One File: readability first — you can still open a modeling file and see the full logic, top to bottom.
– Modular Transformers: visible inheritance that cuts maintenance cost by ~15× while keeping models readable.
– Config-Driven Performance: FlashAttention, tensor parallelism, and attention scheduling are config-level features, not rewrites.
Written with @lysandre ,@pcuenq and @yonigozlan , this is a deep dive into how Transformers stays fast, open, and maintainable.
Read it here → transformers-community/Transformers-tenets
reacted to
ZennyKenny's
post with ❤️
3 months ago
Post
8915
🖤 Probably one of my favorite projects that I've worked on so far, introducing Новояз (Novoyaz).
🛠 One of the first acts of the Bolshevik government after the Russian Revolution was the reform and standardization of the Russian language, which at the time had a non-standard and challenging orthography.
📚 Upon its reform the government launched a nationwide campaign called Ликбез (Likbez), which sought to improve literacy in the country (by the way, it worked, bringing the national literacy rate from <20% in the 1920s to >80% by the 1930s).
‼ While this is a remarkable result that should absolutely be celebrated, it's one that has left behind literally hundreds of thousands if not millions of artifacts using pre-reform Russian orthography.
😓 Researchers and historians are working tirelessly to translate these artifacts to modern Russian so that they may be archived and studied but many have told me that. they are doing this BY HAND (!).
💡 I thought, well this is a perfect use case for OCR and a fine-tuned LLM to step in and help to aid in this important work!
🌏 Introducing НОВОЯЗ (NOVOYAZ)! Powered by ChatDOC/OCRFlux-3B and https://huggingface.co/ZennyKenny/oss-20b-prereform-to-modern-ru-merged, researchers can now convert images of their pre-reform documents to modern Russian orthography using the power of open-source AI!
Check it out and drop a like to support more real-world use cases for open source AI outside of traditional tech-centric domains!
ZennyKenny/Novoyaz
🛠 One of the first acts of the Bolshevik government after the Russian Revolution was the reform and standardization of the Russian language, which at the time had a non-standard and challenging orthography.
📚 Upon its reform the government launched a nationwide campaign called Ликбез (Likbez), which sought to improve literacy in the country (by the way, it worked, bringing the national literacy rate from <20% in the 1920s to >80% by the 1930s).
‼ While this is a remarkable result that should absolutely be celebrated, it's one that has left behind literally hundreds of thousands if not millions of artifacts using pre-reform Russian orthography.
😓 Researchers and historians are working tirelessly to translate these artifacts to modern Russian so that they may be archived and studied but many have told me that. they are doing this BY HAND (!).
💡 I thought, well this is a perfect use case for OCR and a fine-tuned LLM to step in and help to aid in this important work!
🌏 Introducing НОВОЯЗ (NOVOYAZ)! Powered by ChatDOC/OCRFlux-3B and https://huggingface.co/ZennyKenny/oss-20b-prereform-to-modern-ru-merged, researchers can now convert images of their pre-reform documents to modern Russian orthography using the power of open-source AI!
Check it out and drop a like to support more real-world use cases for open source AI outside of traditional tech-centric domains!
ZennyKenny/Novoyaz
posted
an
update
3 months ago
Post
1065
the french ministry of culture releases their first conversation datasets on huggingface 👇🏻
ministere-culture/comparia-conversations
ministere-culture/comparia-conversations
posted
an
update
3 months ago
Post
779
COMPUTER CONTROL IS ON-DEVICE !
🏡🤖 78 % of EU smart-home owners DON’T trust cloud voice assistants.
So we killed the cloud.
Meet Exté: a palm-sized Android device that sees, hears & speaks your language - 100 % offline, 0 % data sent anywhere.
🔓 We submitted our technologies for consideration to the Liquid AI hackathon.
📊 Dataset: 79 k UI-action pairs on Hugging Face (largest Android-control corpus ever) Tonic/android-operator-episodes
⚡ Model: 98 % task accuracy, 678MB compressed , fits on existing android devices ! Tonic/l-android-control
🛤️ Experiment Tracker : check out the training on our TrackioApp Tonic/l-android-control
🎮 Live Model Demo: Upload an Android Screenshot and instructions to see the model in action ! Tonic/l-operator-demo
Built in a garage, funded by pre-orders, no VC. Now we’re scaling to 1 k installer units.
We’re giving 50 limited-edition prototypes to investors , installers & researchers who want to co-design the sovereign smart home.
👇 Drop “EUSKERA” in the comments if you want an invite, tag a friend who still thinks Alexa is “convenient,” and smash ♥️ if AI should belong to people - not servers.
🏡🤖 78 % of EU smart-home owners DON’T trust cloud voice assistants.
So we killed the cloud.
Meet Exté: a palm-sized Android device that sees, hears & speaks your language - 100 % offline, 0 % data sent anywhere.
🔓 We submitted our technologies for consideration to the Liquid AI hackathon.
📊 Dataset: 79 k UI-action pairs on Hugging Face (largest Android-control corpus ever) Tonic/android-operator-episodes
⚡ Model: 98 % task accuracy, 678MB compressed , fits on existing android devices ! Tonic/l-android-control
🛤️ Experiment Tracker : check out the training on our TrackioApp Tonic/l-android-control
🎮 Live Model Demo: Upload an Android Screenshot and instructions to see the model in action ! Tonic/l-operator-demo
Built in a garage, funded by pre-orders, no VC. Now we’re scaling to 1 k installer units.
We’re giving 50 limited-edition prototypes to investors , installers & researchers who want to co-design the sovereign smart home.
👇 Drop “EUSKERA” in the comments if you want an invite, tag a friend who still thinks Alexa is “convenient,” and smash ♥️ if AI should belong to people - not servers.
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- 4 replies
reacted to
yjernite's
post with 🧠
3 months ago
Post
2606
Tremendous quality of life upgrade on the Hugging Face Hub - we now have auto-complete emojis 🤗 🥳 👏 🙌 🎉
Get ready for lots more very serious analysis on a whole range of topics from yours truly now that we have unlocked this full range of expression 😄 🤔 🗣 🙊
Get ready for lots more very serious analysis on a whole range of topics from yours truly now that we have unlocked this full range of expression 😄 🤔 🗣 🙊