AI & ML interests

Efficient machine learning for any model and hardware: pruning, quantization, compilation, and more.

Recent Activity

sdiazlorย  published a model 2 days ago
PrunaAI/Pruna-Qwen-Image-2.1
sdiazlorย  updated a model 2 days ago
PrunaAI/Pruna-Qwen-Image-2.1
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Articles

sharpenbย 
posted an update 2 days ago
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1668
Today, we open-source Pruna-Qwen-Image-2.1, a set of a few-step LoRA adapters that make Qwen-Image-2. up to 6.3ร— faster for image generation and editing.

Try it here: PrunaAI/Pruna-Qwen-Image-2.1

Update README.md

1
#1 opened 3 days ago by
sdiazlor

p-video-2

1
#7 opened 10 days ago by
minette-kaunismaki
begumcigย 
in PrunaAI/P-Bench 8 days ago

p-video-2

1
#7 opened 10 days ago by
minette-kaunismaki
sdiazlorย 
posted an update about 1 month ago
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136
P-Bench: new public benchmark for T2I models

- Compare optimized or accelerated endpoints on quality, speed, and price.
- Analyze the paretos
- Explore the samples

Check it here ๐Ÿ‘‰ PrunaAI/P-Bench
sdiazlorย 
posted an update 2 months ago
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154
Hey! We've released PrunaVAED, a drop-in replacement decoder for LTX-2.3

- ~1.7-2.1x faster decoder & ~50% lower peak VRAM
- Near-original visual quality & no changes to the latent encoding

Check it here: PrunaAI/PrunaVAED
sdiazlorย 
posted an update 5 months ago
sdiazlorย 
posted an update 6 months ago
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127
Pruna OSS is turning 1! To mark this milestone, we're launching the First Prune initiative.

What's First Prune:
If you contribute to open issues at our GitHub repo, you earn Pruna Inference API credits.

How you can participate:
โ€ข Pick an open issue labelled "first-prune" and assign it to you
โ€ข Submit your PR and mark it ready for review by April 30
โ€ข Find out more in the PR template when you open a PR

Each merged PR scores 30 credits.

Letโ€™s build something great together! Find your issue: https://github.com/PrunaAI/pruna/issues
sdiazlorย 
posted an update 7 months ago
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2625
More OSS than ever with the latest pruna 0.3.2 release. It extends existing algorithm families, such as compilers, kernels, and pruners, and adds new ones, including decoders, distillers, enhancers, and recoverers. But it's not only a collection of algorithms; instead, you can easily combine them to get the biggest efficiency win.

Read the full blog here: https://huggingface.co/blog/PrunaAI/pruna-0-3-2-open-source-optimization-algorithms