SKU: 66310895191

K&N Panel Filter 33-2420

Sale price$96.26 Regular price$106.96
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Description

K&N Panel Filter 33-2420K&N washable, reusable High Flow Air Filters feature a state of the art design of layered, oiled cotton media engineered to improve airflow and capture contaminants, and are designed to provide an increase in horsepower. Each performance air filter is reusable, engineered to last for the entire lifespan of your vehicle, and backed by K&N's 10 Year Million Mile Limited Warranty. K&N drop in replacement filters are designed to install easily into your



K&N® washable, reusable High-Flow Air Filters™ feature a state-of-the-art design of layered, oiled cotton media engineered to improve airflow and capture contaminants, and are designed to provide an increase in horsepower.

Each performance air filter is reusable, engineered to last for the entire lifespan of your vehicle, and backed by K&N's 10-Year/Million Mile Limited Warranty.

K&N drop-in replacement filters are designed to install easily into your factory air box. Upgrade today and start enjoying superior airflow and superior performance from K&N's most popular product!

Specifications:

  • Air Filter Shape: Panel
  • Filter Material: Cotton Gauze
  • Washable: Yes
  • Height: 41 mm
  • Outside Length: 292 mm
  • Outside Width: 216 mm
  • Package Contents: 1 Air Filter
  • Package Quantity: 1
  • Warranty: 1,000,000 Miles/10 Year
  • Product Style: Panel Air Filter
  • Weight: 0.9 kg
  • Filter Re-Oiling Amount: 86 ml
  • Product Box Height: 294 mm
  • Product Box Length: 265 mm
  • Product Box Width: 44 mm

Vehicle applications:

Make Model Engine Year Specific
Jeep Commander 3.0L V6 Diesel 2007-2010
Jeep Commander 3.0L V6 Diesel 2006-2006 EU
Jeep Grand Cherokee 3.0L V6 Diesel 2008-2009
Jeep Grand Cherokee III 3.0L V6 Diesel 2010-2010

Cross references:

  • AC Delco A2941C
  • Carquest 87329
  • Carquest DW87329
  • Carquest R87329
  • Champ Labs. AF3588
  • DuraMAX DA3588
  • Eco Gard XA5414
  • Fram CA8817
  • Jeep 05018777AB
  • Jeep 5018777AB
  • Luber-Finer AF3588
  • Mann-Hummel C2975
  • Mobil MA5414
  • Pronto PA5414
  • Purepro A5414
  • Purolator A35414
  • Repco RAF271
  • Ryco A1545
  • Service Champ AF5414
  • Service Pro MA5414
  • STP SA8817
  • Valvoline VA164
  • Warner WAF3588
  • Wesfil WA1099
  • WIX 42329

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
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SKU: 66310895191

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Abdul
Charlottesville, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Birmingham, US
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Breaks down complex concepts into bite-sized, practical chapters.
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This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Whiting, US
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Great helpful book.
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This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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jeff s kittrell
Cuba, US
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Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Amazon User
Lowell, US
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Great book to understand Neural Networks!
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Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025

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