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

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#3 opened 1 day ago by
minette-kaunismaki

log scale

#2 opened 1 day ago by
minette-kaunismaki
sdiazlorย 
posted an update 3 days ago
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92
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
begumcigย 
in PrunaAI/P-Bench 4 days ago

ui-updates

1
#1 opened 4 days ago by
minette-kaunismaki
sdiazlorย 
posted an update 26 days ago
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143
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
mehdiPrunaAIย 
in PrunaAI/PrunaVAED 26 days ago
sdiazlorย 
in PrunaAI/PrunaVAED 26 days ago
sdiazlorย 
posted an update 4 months ago
sdiazlorย 
posted an update 5 months ago
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121
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 5 months ago
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2620
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
davidberenstein1957ย 
posted an update 8 months ago
davidberenstein1957ย 
posted an update about 1 year ago
davidberenstein1957ย 
posted an update about 1 year ago
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427
๐Ÿšจ LLMs recognise bias but also reproduce harmful stereotypes: an analysis of bias in leading LLMs

I've written a new entry in our series on the Giskard, BPIFrance and Google Deepmind Phare benchmark(phare.giskard.ai).

This time it covers bias: https://huggingface.co/blog/davidberenstein1957/llms-recognise-bias-but-also-produce-stereotypes

Previous entry on hallucinations: https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
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