v0.2.11

The juiciest bits 🧃

October was all about Hacktoberfest, and wow, our community really showed up 🥺
From shiny new features to better docs and stronger evals, Pruna got a whole lot more powerful (and prettier) this month.
Let’s dive into what everyone’s been cooking 🔮

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@R055A leveled up our experimentation game ✨

• feat: tinywikitext dataset by @R055A in #362
• feat: multi-scale SSIM by @R055A in #361

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@kirdmiv brought the vibes to our evaluation module 🎨

• feat: aesthetic laion metric by @kirdmiv in #424

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Type checking, but make it sleek 🪶:

• feat: migrate from mypy to ty by @supakornn in #360
• style: add jaxtyping annotations and contributor documentation by @vaishnaviparabkar90 @begumcig in #423

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@DevManpreet5 was both adding features and fixing our bugs 🧰 :

• feat: add progress bars to EvaluationAgent by @DevManpreet5 in #348
• docs: fix incorrect clone link in README by @DevManpreet5 in #347

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TinyIMDB dataset plus new logging system with adjustable levels by @pranayyb 🎬 :

• feat: Add TinyIMDB dataset for lightweight experiments by @pranayyb in #374
• feat: add set_logging_level functionality by @pranayyb in #398

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@Almonok made sure our repo stays squeaky clean 🛡️:

• feat: add pre-commit trufflehog by @Almonok in #383

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DINO has joined our evaluation zoo! Thanks to @Prashankavi @begumcig 🦖:

• feat: dino score by @Prashankavi @begumcig in #354

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We have more tutorials, making getting started with Pruna even easier, thanks to @ParagEkbote 🇪🇿:

• Add an End-To-End Tutorial for Efficient-Large-Model/Sana_600M_512px_diffusers by @ParagEkbote in #322
• Create Compatibility Matrix for Algorithm in Docs by @ParagEkbote in #403

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Our very own Pruners were also busy making amazing contributions this month!: 🟣

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Target modules are extending!:

• feat: add target modules to bnb quantizers by @gsprochette in #333

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We have more datasets for experimentation and benchmarking:

• feat: add prompt-only image generation datasets by @nifleisch in #310
• feat: vbench datamodule by @begumcig in #397

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EvaluationAgent now supports multi-GPU inference and multi-GPU latency metrics.

• feat: accelerate inference by @begumcig in #405

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More evaluation metric features:

• feat: expose metric information in MetricResult by @sdiazlor in #326

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PrunaModel and SmashConfig improvements:

• feat: allow loading models without a smash config by @sharpenb in #340
• feat: add a get device type function to utils by @simlang in #416

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Pruning some bugs 🐞 and maintanence 👩‍🌾:

• docs: removing pruna_pro mentions by @Mel-Alm in #387
• telemetry: enable metrics and update OTLP endpoint to staging environment by @gtregoat in #394
• docs: update contributor setup instructions by @johannaSommer in #355
• docs: add target modules documentation by @gsprochette in #331
• ci: migrate test models to pruna-test by @gsprochette in #385
• fix: change vbench dependency to exclude macOS by @begumcig in #426
• fix: add dataset and inferencer for janus tests by @gsprochette in #327
• Reduce Flakiness in CI by configuring HF Token and add caching for HF… by @davidberenstein1957 in #410
• fix: remove outdated prunamodel interface from deploying Sana notebook by @begumcig in #420

🌱 New faces in the garden

• @DevManpreet5 made their first contribution in #347
• @R055A made their first contribution in #362
• @pranayyb made their first contribution in #374
• @Almonok made their first contribution in #383
• @supakornn made their first contribution in #360
• Our @Mel-Alm made her first contribution 💪 in #387
• @sharpenb is back with their first contribution since open-sourcing 🚀 in #340
• @gtregoat made his first contribution too, usually holding it down on the backend, but nice to see him in the main repo! ⚙️ in #394

Full Changelog: v0.2.10...v0.2.11