Pruna 0.3.2: More OSS Algos, More Ways to Optimize
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Efficient machine learning for any model and hardware: pruning, quantization, compilation, and more.
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As First Prune, the one-year Pruna OSS anniversary, is halfway.
Weβre sharing a recap blog post about our OSS journey β how we started, what weβve built so far, and whatβs next.
Read it here: https://dev.to/pruna-ai/first-prune-celebrate-one-year-of-pruna-oss-50gp
Weβre sharing a recap blog post about our OSS journey β how we started, what weβve built so far, and whatβs next.
Read it here: https://dev.to/pruna-ai/first-prune-celebrate-one-year-of-pruna-oss-50gp
Post
107
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:
β’ Pick an open issue labelled "first-prune" and assign it to you
β’ Submit your PR and mark it ready for review by April 30
β’ Find out more in the PR template when you open a PR
Each merged PR scores 30 credits.
Letβs build something great together! Find your issue: https://github.com/PrunaAI/pruna/issues
What's First Prune:
If you contribute to open issues at our GitHub repo, you earn Pruna Inference API credits.
How you can participate:
β’ Pick an open issue labelled "first-prune" and assign it to you
β’ Submit your PR and mark it ready for review by April 30
β’ Find out more in the PR template when you open a PR
Each merged PR scores 30 credits.
Letβs build something great together! Find your issue: https://github.com/PrunaAI/pruna/issues
Post
2610
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
Read the full blog here: https://huggingface.co/blog/PrunaAI/pruna-0-3-2-open-source-optimization-algorithms
davidberenstein1957Β
posted an update 6 months ago
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2792
π¨ Phare LLM benchmark V2: Reasoning models don't guarantee better security
Read the full blog here: https://huggingface.co/blog/davidberenstein1957/phare-llm-benchmark-v2
Read the full blog here: https://huggingface.co/blog/davidberenstein1957/phare-llm-benchmark-v2
davidberenstein1957Β
posted an update 11 months ago
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629
Announcing RealPerformance, a dataset of functional issues of language models that mirrors failure patterns identified through rigorous testing in real LLM agents
https://huggingface.co/blog/davidberenstein1957/realperformance-llm-business-compliance
https://huggingface.co/blog/davidberenstein1957/realperformance-llm-business-compliance
davidberenstein1957Β
posted an update 12 months ago
Post
418
π¨ 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
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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