We compressed All models from Black Forest Labs, HiDream, and Alibaba on @replicate.com 👇
We even created it the super high resolution Wan Image which can make cinematic images in seconds ;)
We compressed All models from Black Forest Labs, HiDream, and Alibaba on @replicate.com 👇
We even created it the super high resolution Wan Image which can make cinematic images in seconds ;)
- Accessible on @replicate.com: replicate.com/prunaai/wan-...
- Check details, examples, and benchmarks in our blog: www.pruna.ai/blog/wan-ima...
- Use Pruna AI to compress more AI models: docs.pruna.ai/en/stable/
- Accessible on @replicate.com: replicate.com/prunaai/wan-...
- Check details, examples, and benchmarks in our blog: www.pruna.ai/blog/wan-ima...
- Use Pruna AI to compress more AI models: docs.pruna.ai/en/stable/
It is designed for a large audience and includes diverse materials.
It is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! 🌟
github.com/PrunaAI/awes...
It is designed for a large audience and includes diverse materials.
It is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! 🌟
github.com/PrunaAI/awes...
(+2,500 in just the last two months 📈 all of you are keeping us busy!)
To celebrate, we gave our HF space a little makeover… and snuck in an Easter Egg 🥚
👀 Think you can find it? Drop a comment if you do!
(+2,500 in just the last two months 📈 all of you are keeping us busy!)
To celebrate, we gave our HF space a little makeover… and snuck in an Easter Egg 🥚
👀 Think you can find it? Drop a comment if you do!
The good news: With enough high-quality evidence, rational agents will eventually converge on the truth. But the path there might be bumpy!
It takes a based model as input and returns a compressed model as output with various compression methods.
You can access via:
- Self-hosted w/ CLI (docs.pruna.ai/en/latest/se...)
- Cloud hosted w/ AWS: aws.amazon.com/marketplace/...).
It takes a based model as input and returns a compressed model as output with various compression methods.
You can access via:
- Self-hosted w/ CLI (docs.pruna.ai/en/latest/se...)
- Cloud hosted w/ AWS: aws.amazon.com/marketplace/...).
This would not have been possible without Rayen Dahri* who lead the project, Alex Immer, Stephan Günnemann, and @vincefort.bsky.social !
1/3
📄 "Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood"
Read it here: arxiv.org/abs/2402.15978
Details in 🧵
This would not have been possible without Rayen Dahri* who lead the project, Alex Immer, Stephan Günnemann, and @vincefort.bsky.social !
1/3
@bertrand-sharp.bsky.social, and Stephan Günnemann
@bertrand-sharp.bsky.social, and Stephan Günnemann
This would not have been possible without Marcel Kollovieh* who lead the project, @danielzuegner.bsky.social and Stephan Günnemann !
1/4
This would not have been possible without Marcel Kollovieh* who lead the project, @danielzuegner.bsky.social and Stephan Günnemann !
1/4
#EfficientAI #AccessibleAI #SustainableAI #TechForGood
#EfficientAI #AccessibleAI #SustainableAI #TechForGood