SKU: 91414015565

Skyjacker 1987-1988 Chevrolet V30 Pickup Transfer Case Lowering Kit

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Description

Skyjacker 1987-1988 Chevrolet V30 Pickup Transfer Case Lowering KitAny suspension lift kit of 2 in. or more can benefit from a Transfer Case Lowering Kit to minimize or eliminate any driveline vibration by decreasing driveshaft angles and making them closer to stock. Skyjackers Transfer Case Lowering Kits feature newly designed 1 piece spacer bars, which look great and simplify the installation. This Part Fits: Year Make Model Submodel 1973 1974 Chevrolet Blazer Base 1987 Chevrolet Blazer Custom Deluxe 1988 1991

Any suspension lift kit of 2 in. or more can benefit from a Transfer Case Lowering Kit to minimize or eliminate any driveline vibration by decreasing driveshaft angles and making them closer to stock. Skyjackers Transfer Case Lowering Kits feature newly designed 1-piece spacer bars, which look great and simplify the installation.

This Part Fits:

Year Make Model Submodel
1973-1974 Chevrolet Blazer Base
1987 Chevrolet Blazer Custom Deluxe
1988-1991 Chevrolet Blazer Scottsdale
1987-1991 Chevrolet Blazer Silverado
1975-1981 Chevrolet K10 Cheyenne
1981-1986 Chevrolet K10 Custom
1975-1980 Chevrolet K10 Custom Deluxe
1981 Chevrolet K10 Deluxe
1975-1986 Chevrolet K10 Scottsdale
1975-1986 Chevrolet K10 Silverado
1973-1974 Chevrolet K10 Pickup Base
1973-1974 Chevrolet K10 Suburban Base
1981-1986 Chevrolet K10 Suburban Custom
1975-1980 Chevrolet K10 Suburban Custom Deluxe
1981 Chevrolet K10 Suburban Deluxe
1975-1980,1982,1984-1986 Chevrolet K10 Suburban Scottsdale
1975-1977,1979-1980,1982-1983,1985-1986 Chevrolet K10 Suburban Silverado
1988-1991 Chevrolet K1500 Cheyenne
1988-1992 Chevrolet K1500 Scottsdale
1988-1991 Chevrolet K1500 Silverado
1991 Chevrolet K1500 Sport
1990-1991 Chevrolet K1500 WT
1975-1981 Chevrolet K20 Cheyenne
1981-1986 Chevrolet K20 Custom
1975-1980 Chevrolet K20 Custom Deluxe
1981 Chevrolet K20 Deluxe
1975-1986 Chevrolet K20 Scottsdale
1975-1983,1985-1986 Chevrolet K20 Silverado
1973-1974 Chevrolet K20 Pickup Base
1973-1974 Chevrolet K20 Suburban Base
1981-1986 Chevrolet K20 Suburban Custom
1975-1980 Chevrolet K20 Suburban Custom Deluxe
1981 Chevrolet K20 Suburban Deluxe
1975-1980,1982,1984-1986 Chevrolet K20 Suburban Scottsdale
1975-1977,1979-1980,1982-1983,1985-1986 Chevrolet K20 Suburban Silverado
1988-1991 Chevrolet K2500 Cheyenne
1988-1992 Chevrolet K2500 Scottsdale
1988-1991 Chevrolet K2500 Silverado
1977-1981 Chevrolet K30 Cheyenne
1981-1986 Chevrolet K30 Custom
1977-1980 Chevrolet K30 Custom Deluxe
1981 Chevrolet K30 Deluxe
1977-1986 Chevrolet K30 Scottsdale
1977-1986 Chevrolet K30 Silverado
1973-1974 Chevrolet K30 Pickup Base
1988-1991 Chevrolet K3500 Cheyenne
1988-1991 Chevrolet K3500 Scottsdale
1988-1991 Chevrolet K3500 Silverado
1976 Chevrolet K5 Blazer Base
1975-1980 Chevrolet K5 Blazer Cheyenne
1981-1986 Chevrolet K5 Blazer Custom
1975,1977-1980 Chevrolet K5 Blazer Custom Deluxe
1981 Chevrolet K5 Blazer Deluxe
1984 Chevrolet K5 Blazer Scottsdale
1978,1980-1986 Chevrolet K5 Blazer Silverado
1987 Chevrolet V10 Custom Deluxe
1987 Chevrolet V10 Scottsdale
1987 Chevrolet V10 Silverado
1987 Chevrolet V10 Suburban Custom Deluxe
1987-1988 Chevrolet V10 Suburban Scottsdale
1987-1988 Chevrolet V10 Suburban Silverado
1989-1991 Chevrolet V1500 Suburban Scottsdale
1989-1991 Chevrolet V1500 Suburban Silverado
1987 Chevrolet V20 Custom Deluxe
1987 Chevrolet V20 Scottsdale
1987 Chevrolet V20 Silverado
1987 Chevrolet V20 Suburban Custom Deluxe
1987-1988 Chevrolet V20 Suburban Scottsdale
1987-1988 Chevrolet V20 Suburban Silverado
1989-1991 Chevrolet V2500 Suburban Scottsdale
1989-1991 Chevrolet V2500 Suburban Silverado
1988 Chevrolet V30 Cheyenne
1987-1988 Chevrolet V30 Custom Deluxe
1987-1988 Chevrolet V30 Scottsdale
1987-1988 Chevrolet V30 Silverado
1989-1991 Chevrolet V3500 Cheyenne
1989-1990 Chevrolet V3500 Scottsdale
1989-1991 Chevrolet V3500 Silverado
1986 GMC C2500 Suburban Sierra Classic
1973-1991 GMC Jimmy Base
1975-1985 GMC Jimmy High Sierra
1975-1990 GMC Jimmy Sierra Classic
1975-1982 GMC Jimmy Sierra Grande
1978 GMC Jimmy Street Coupe
1975-1978 GMC K15 Base
1975-1978 GMC K15 High Sierra
1977 GMC K15 Indy Hauler
1975-1978 GMC K15 Sierra Classic
1975-1978 GMC K15 Sierra Grande
1975-1978 GMC K15 Suburban Base
1975-1978 GMC K15 Suburban High Sierra
1975-1978 GMC K15 Suburban Sierra Classic
1975-1978 GMC K15 Suburban Sierra Grande
1973-1974 GMC K15/K1500 Pickup Base
1973-1974 GMC K15/K1500 Suburban Base
1979-1986 GMC K1500 Base
1979-1986 GMC K1500 High Sierra
1988-1991 GMC K1500 Sierra
1979-1986 GMC K1500 Sierra Classic
1979-1982 GMC K1500 Sierra Grande
1988-1991 GMC K1500 Sierra SLE
1988-1991 GMC K1500 Sierra SLX
1979-1986 GMC K1500 Suburban Base
1979-1986 GMC K1500 Suburban High Sierra
1979-1986 GMC K1500 Suburban Sierra Classic
1979-1982 GMC K1500 Suburban Sierra Grande
1975-1978 GMC K25 Base
1975-1978 GMC K25 High Sierra
1975-1978 GMC K25 Sierra Classic
1975-1978 GMC K25 Sierra Grande
1975-1978 GMC K25 Suburban Base
1975-1978 GMC K25 Suburban High Sierra
1975-1978 GMC K25 Suburban Sierra Classic
1975-1978 GMC K25 Suburban Sierra Grande
1973-1974 GMC K25/K2500 Pickup Base
1973-1974 GMC K25/K2500 Suburban Base
1979-1986 GMC K2500 Base
1979-1986 GMC K2500 High Sierra
1988-1991 GMC K2500 Sierra
1979-1986 GMC K2500 Sierra Classic
1979-1982 GMC K2500 Sierra Grande
1988-1991 GMC K2500 Sierra SLE
1988-1991 GMC K2500 Sierra SLX
1979-1986 GMC K2500 Suburban Base
1979-1986 GMC K2500 Suburban High Sierra
1979-1986 GMC K2500 Suburban Sierra Classic
1979-1982 GMC K2500 Suburban Sierra Grande
1977-1978 GMC K35 Base
1977-1978 GMC K35 High Sierra
1977-1978 GMC K35 Sierra Classic
1977-1978 GMC K35 Sierra Grande
1973-1974 GMC K35/K3500 Pickup Base
1979-1986 GMC K3500 Base
1979-1986 GMC K3500 High Sierra
1988-1991 GMC K3500 Sierra
1979-1986 GMC K3500 Sierra Classic
1979-1982 GMC K3500 Sierra Grande
1988-1991 GMC K3500 Sierra SLE
1988-1991 GMC K3500 Sierra SLX
1987 GMC V1500 Base
1987 GMC V1500 High Sierra
1987 GMC V1500 Sierra Classic
1987-1991 GMC V1500 Suburban Base
1987 GMC V1500 Suburban High Sierra
1987-1989 GMC V1500 Suburban Sierra Classic
1990 GMC V1500 Suburban SLE
1987 GMC V2500 Base
1987 GMC V2500 High Sierra
1987 GMC V2500 Sierra Classic
1987-1991 GMC V2500 Suburban Base
1987 GMC V2500 Suburban High Sierra
1987-1989 GMC V2500 Suburban Sierra Classic
1990 GMC V2500 Suburban SLE
1987-1991 GMC V3500 Base
1987-1989 GMC V3500 High Sierra
1987-1989 GMC V3500 Sierra Classic
1990-1991 GMC V3500 SLE
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SKU: 91414015565

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4.7 ★★★★★
Based on 26 reviews
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R
Ryan Meyer
Dallas, 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
Birmingham, 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
Omaha, 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
Omaha, 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
M
Verified Purchase
MrGee
Waukegan, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021

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