SKU: 64125611243

Wilwood TX6R Front Kit 16.00in Black 1999-2014 GM Truck/SUV 1500

$1407.59 $1563.99
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Description

Wilwood TX6R Front Kit 16.00in Black 1999-2014 GM Truck/SUV 1500Wilwoods Tactical Extreme TX6R Big Brake kits are ultimate in braking performance for Truck, SUV and Armored Vehicles. Using TX6R radial mount six piston calipers and massive 15. 00 to 16. 00 GT 60 directional vane Spec 37 alloy rotors, these kits deliver consistent stopping power and extreme duty durability under sustained high heat with this ready to bolt on kit. The calipers are volume matched for compatibility with original equipment power brake

Wilwood’s Tactical Extreme TX6R Big Brake kits are ultimate in braking performance for Truck, SUV and Armored Vehicles. Using TX6R radial mount six-piston calipers and massive 15.00” to 16.00” GT-60 directional vane Spec-37 alloy rotors, these kits deliver consistent stopping power and extreme duty durability under sustained high heat with this ready to bolt-on kit. The calipers are volume matched for compatibility with original equipment power brake system output. Kits include radial mount caliper brackets, and all the necessary hardware to complete the installation. Braided stainless steel flex lines will need to be purchased for some applications.

This Part Fits:

Year Make Model Submodel
2002-2012,2014-2016 Cadillac Escalade Base
2009-2012 Cadillac Escalade Hybrid
2010-2012 Cadillac Escalade Hybrid Platinum
2011-2012,2014-2016 Cadillac Escalade Luxury
2008-2012,2014,2016 Cadillac Escalade Platinum
2011-2012,2014-2016 Cadillac Escalade Premium
2007-2012,2014-2016 Cadillac Escalade ESV Base
2011-2012,2014-2016 Cadillac Escalade ESV Luxury
2008-2012,2014,2016 Cadillac Escalade ESV Platinum
2011-2012,2014-2016 Cadillac Escalade ESV Premium
2007-2009 Cadillac Escalade EXT Base
2013 Chevrolet Avalanche Black Diamond LS
2013 Chevrolet Avalanche Black Diamond LT
2013 Chevrolet Avalanche Black Diamond LTZ
2007-2012 Chevrolet Avalanche LS
2007-2012 Chevrolet Avalanche LT
2007-2012 Chevrolet Avalanche LTZ
2002-2005 Chevrolet Avalanche 1500 Base
2005-2006 Chevrolet Avalanche 1500 LS
2005-2006 Chevrolet Avalanche 1500 LT
2002-2003 Chevrolet Avalanche 1500 North Face
2002-2003 Chevrolet Avalanche 1500 On Road Edition
2003 Chevrolet Avalanche 1500 WBH
2004-2006 Chevrolet Avalanche 1500 Z66
2002-2006 Chevrolet Avalanche 1500 Z71
1999-2005 Chevrolet Silverado 1500 Base
2014-2016 Chevrolet Silverado 1500 High Country
2004-2006,2009-2013 Chevrolet Silverado 1500 Hybrid
1999-2006,2008-2013,2016 Chevrolet Silverado 1500 LS
1999-2016 Chevrolet Silverado 1500 LT
2007-2016 Chevrolet Silverado 1500 LTZ
2005-2006 Chevrolet Silverado 1500 SS
2016 Chevrolet Silverado 1500 SSV
2002-2004,2006-2016 Chevrolet Silverado 1500 WT
2010-2013 Chevrolet Silverado 1500 XFE
2004 Chevrolet Silverado 1500 Z71 Off-Road
2015-2016 Chevrolet Suburban LS
2015-2016 Chevrolet Suburban LT
2015-2016 Chevrolet Suburban LTZ
2000-2001,2006 Chevrolet Suburban 1500 Base
2000-2014 Chevrolet Suburban 1500 LS
2000-2014 Chevrolet Suburban 1500 LT
2007-2014 Chevrolet Suburban 1500 LTZ
2004-2006 Chevrolet Suburban 1500 Z71
2000-2001,2006 Chevrolet Tahoe Base
2008-2013 Chevrolet Tahoe Hybrid
2000-2016 Chevrolet Tahoe LS
2000-2016 Chevrolet Tahoe LT
2007-2016 Chevrolet Tahoe LTZ
2012-2013,2016 Chevrolet Tahoe PPV
2012-2013,2016 Chevrolet Tahoe SSV
2003-2006 Chevrolet Tahoe Z71
2002-2005,2014-2016 GMC Sierra 1500 Base
2001 GMC Sierra 1500 C3
2007-2016 GMC Sierra 1500 Denali
2002 GMC Sierra 1500 HT
2005-2006,2009-2013 GMC Sierra 1500 Hybrid
1999-2003,2006,2008-2013 GMC Sierra 1500 SL
1999-2016 GMC Sierra 1500 SLE
1999-2016 GMC Sierra 1500 SLT
2002-2013 GMC Sierra 1500 WT
2010-2013 GMC Sierra 1500 XFE
2001,2007-2012,2014-2016 GMC Yukon Denali
2010-2013 GMC Yukon Denali Hybrid
2008-2013 GMC Yukon Hybrid
2006 GMC Yukon SL
2000-2016 GMC Yukon SLE
2000-2016 GMC Yukon SLT
2015-2016 GMC Yukon XL Denali
2015-2016 GMC Yukon XL SLE
2015-2016 GMC Yukon XL SLT
2001,2007-2012,2014 GMC Yukon XL 1500 Denali
2006 GMC Yukon XL 1500 SL
2000-2014 GMC Yukon XL 1500 SLE
2000-2014 GMC Yukon XL 1500 SLT
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SKU: 64125611243

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4.3 ★★★★★
Based on 6 reviews
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N
noam barkay
San Leandro, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Lexington, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Carnegie, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Louisville, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Pawtucket, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024

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