SKU: 36003083027

Comp Cams FS XE250H-10 Cam & Kit

Sale price$260.13 Regular price$289.03
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Description

Comp Cams FS XE250H-10 Cam & KitXtreme EnergyT, XE250H: Cam & Kit Hydraulic: Very strong torque, excellent mileage, smooth idle. Specifications Lifter Type: Hydraulic Lifter Engine Family: Ford 289 302 C. I. 8 cyl. 1963 1995 Cam Family: Xtreme EnergyT Hydraulic Flat Tappet Camshafts RPM Range: 600 to 4800 Valve Timing: 0. 006 Lobe Separation: 110 Intake Centerline: 106 Valve Lash: Hyd.(Intake) Hyd.(Exhaust) Duration: 250(Intake) 260(Exhaust) Duration @ . 050" Lift: 206(Intake)

Xtreme EnergyT, XE250H: Cam & Kit

Hydraulic: Very strong torque, excellent mileage, smooth idle.

Specifications

Lifter Type: Hydraulic Lifter

Engine Family: Ford 289-302 C.I. 8 cyl. 1963-1995

Cam Family: Xtreme EnergyT Hydraulic Flat Tappet Camshafts

RPM Range: 600 to 4800

Valve Timing: 0.006

Lobe Separation: 110°

Intake Centerline: 106°

Valve Lash: Hyd.(Intake)/ Hyd.(Exhaust)

Duration: 250(Intake)/ 260(Exhaust)

Duration @ .050" Lift: 206(Intake)/ 212(Exhaust)

Valve Lift: 0.46(Intake)/ 0.474(Exhaust)

Lobe Lift: 0.289(Intake)/ 0.296(Exhaust)



Vehicle Fitments:

Year Make Model Submodel
1966 - 1974 Ford Bronco Base
1975 - 1993 Ford Bronco Custom
1985 - 1993 Ford Bronco Eddie Bauer
1980 - 1981 Ford Bronco Ranger XLT
1975 Ford Bronco Ranger, Northland
1968 - 1969 Ford Bronco Roadster
1975 - 1977 Ford Bronco Sport
1968 - 1973 Ford Bronco Wagon
1990 - 1993 Ford Bronco XL
1982 - 1983 Ford Bronco XLS
1984 - 1992 Ford Bronco XLT
1982 - 1993 Ford Bronco XLT Lariat
1992 Ford Bronco XLT Nite
1963 - 1972 Ford Country Sedan Base
1963 - 1972 Ford Country Squire Base
1964 - 1972 Ford Custom Base
1964 - 1972 Ford Custom 500 Base
1969 - 1982 Ford E-100 Econoline Base
1975 - 1982 Ford E-100 Econoline Chateau
1969 - 1974 Ford E-100 Econoline Club Wagon
1975 - 1983 Ford E-100 Econoline Custom
1975 Ford E-100 Econoline Northland
1983 Ford E-100 Econoline XL
1979 - 1982 Ford E-100 Econoline Club Wagon Base, Chateau
1979 - 1983 Ford E-100 Econoline Club Wagon Custom
1983 Ford E-100 Econoline Club Wagon XL
1975 - 1993 Ford E-150 Econoline Base
1975 - 1982 Ford E-150 Econoline Chateau
1975 - 1991 Ford E-150 Econoline Custom
1975 Ford E-150 Econoline Northland
1983 - 1993 Ford E-150 Econoline XL
1979 - 1986 Ford E-150 Econoline Club Wagon Base
1979 - 1993 Ford E-150 Econoline Club Wagon Chateau, Custom
1983 - 1991 Ford E-150 Econoline Club Wagon XL
1984 - 1993 Ford E-150 Econoline Club Wagon XLT
1969 - 1974 Ford E-200 Econoline Base, Club Wagon
1971 - 1972 Ford E-200 Econoline Chateau Wagon
1970 - 1974 Ford E-200 Econoline Custom Wagon
1975 - 1986 Ford E-250 Econoline Base
1975 - 1982 Ford E-250 Econoline Chateau
1975 - 1991 Ford E-250 Econoline Custom
1975 Ford E-250 Econoline Northland
1983 - 1991 Ford E-250 Econoline XL
1979 - 1980 Ford E-250 Econoline Club Wagon Base, Chateau, Custom
1970 - 1974 Ford E-300 Econoline Chateau Wagon
1969 - 1974 Ford E-300 Econoline Club Wagon, Base
1971 - 1972 Ford E-300 Econoline Custom Wagon
1975 - 1982 Ford E-350 Econoline Chateau, Base, Custom
1975 Ford E-350 Econoline Northland
1979 - 1980 Ford E-350 Econoline Club Wagon Chateau, Custom, Base
1975 - 1983 Ford F-100 Base
1975 - 1982 Ford F-100 Custom
1975 - 1978 Ford F-100 Northland
1978 - 1981 Ford F-100 Ranger Lariat
1975 - 1981 Ford F-100 Ranger, Ranger XLT
1977 Ford F-100 XLT
1982 - 1983 Ford F-100 XLT Lariat, XL, XLS
1976 - 1986 Ford F-150 Base
1975 - 1992 Ford F-150 Custom
1993 Ford F-150 Lightning
1975 - 1978 Ford F-150 Northland
1975 - 1989 Ford F-150 Ranger
1978 - 1981 Ford F-150 Ranger Lariat
1975 - 1981 Ford F-150 Ranger XLT
1982 - 1993 Ford F-150 XL
1982 - 1983 Ford F-150 XLS
1977 - 1993 Ford F-150 XLT
1982 - 1992 Ford F-150 XLT Lariat
1976 - 1986 Ford F-250 Base
1975 - 1993 Ford F-250 Custom
1975 - 1978 Ford F-250 Northland
1975 - 1992 Ford F-250 Ranger
1978 - 1981 Ford F-250 Ranger Lariat
1975 - 1981 Ford F-250 Ranger XLT
1982 - 1993 Ford F-250 XL
1982 - 1983 Ford F-250 XLS
1977 - 1993 Ford F-250 XLT
1982 - 1992 Ford F-250 XLT Lariat
1975 - 1980 Ford F-350 Base, Ranger XLT, Custom, Ranger
1975 - 1978 Ford F-350 Northland
1978 - 1980 Ford F-350 Ranger Lariat
1977 Ford F-350 XLT
1963 - 1970 Ford Fairlane 500
1966 - 1967 Ford Fairlane 500XL
1963 - 1969 Ford Fairlane Base
1978 - 1979 Ford Fairmont Base, Futura
1979 Ford Fairmont Wagon, Elite
1963 - 1965 Ford Falcon Futura Sprint
1963 - 1970 Ford Falcon Futura, Base
1963 - 1965 Ford Falcon Sedan Delivery Base
1963 - 1967 Ford Galaxie Base
1963 - 1972 Ford Galaxie 500 Base
1963 - 1964 Ford Galaxie 500 Sunliner, Victoria
1963 - 1970 Ford Galaxie 500 XL
1973 - 1974 Ford Gran Torino Brougham
1974 Ford Gran Torino Elite
1972 - 1974 Ford Gran Torino Sport, Squire, Base
1975 - 1980 Ford Granada Base, Ghia
1978 - 1980 Ford Granada ESS
1968 Ford GT40 Base
1966 - 1969 Ford GT40 MK III
1965 - 1981 Ford LTD Base
1970 - 1972 Ford LTD Brougham
1977 - 1981 Ford LTD Country Squire
1980 - 1981 Ford LTD Crown Victoria, S
1977 - 1979 Ford LTD Landau
1977 - 1978 Ford LTD II Brougham
1979 Ford LTD II Landau
1977 - 1979 Ford LTD II S, Base
1977 Ford LTD II Squire
1971 - 1977 Ford Maverick Base
1975 - 1977 Ford Maverick Grabber
1964 - 1979 Ford Mustang Base
1969 - 1971 Ford Mustang Boss 302
1971 - 1972 Ford Mustang Boss 351
1969 - 1970 Ford Mustang Boss 429
1979 Ford Mustang Ghia
1970 - 1973 Ford Mustang Mach 1, Grande
1965 - 1970 Ford Mustang Shelby GT-350
1966 Ford Mustang Shelby GT-350H
1967 - 1970 Ford Mustang Shelby GT-500
1968 Ford Mustang Shelby GT-500KR
1975 - 1978 Ford Mustang II Base, Ghia, Mach 1
1963 - 1972 Ford Ranch Wagon Base
1970 Ford Ranch Wagon Police Cruiser
1967 - 1979 Ford Ranchero 500
1967 Ford Ranchero 500 XL
1963 - 1971 Ford Ranchero Base
1966 Ford Ranchero Custom
1968 - 1979 Ford Ranchero GT
1970 - 1979 Ford Ranchero Squire
1963 - 1964 Ford Sprint Base
1977 - 1981 Ford Thunderbird Base
1978 Ford Thunderbird Diamond Jubilee
1979 - 1981 Ford Thunderbird Heritage
1980 Ford Thunderbird Silver Anniversary
1978 - 1981 Ford Thunderbird Town Landau
1971 Ford Torino 500
1968 - 1974 Ford Torino Base
1970 - 1971 Ford Torino Brougham, Super Cobra Jet
1969 - 1971 Ford Torino Cobra, Squire
1968 - 1971 Ford Torino GT
1980 Lincoln Continental Base
1980 - 1981 Lincoln Mark VI Base
1981 Lincoln Town Car Base
1977 - 1980 Lincoln Versailles Base
1964 - 1967 Mercury Caliente Base
1979 Mercury Capri Ghia, Base
1964 - 1965 Mercury Comet 404, 202
1963 - 1977 Mercury Comet Base
1963 Mercury Comet S-22, Custom
1967 Mercury Commuter Base
1969 - 1970 Mercury Cougar Cobra Jet, Boss 429, Boss 302
1977 Mercury Cougar Villager, Brougham
1967 - 1981 Mercury Cougar XR-7, Base
1963 Mercury Country Cruiser Base
1964 - 1970 Mercury Cyclone Base
1969 Mercury Cyclone CJ
1970 Mercury Cyclone GT
1969 - 1970 Mercury Cyclone Spoiler
1979 - 1981 Mercury Grand Marquis Colony Park, Base
1979 - 1981 Mercury Marquis Base, Brougham
1963 Mercury Meteor Custom, Base, S-33
1975 - 1980 Mercury Monarch Base
1975 - 1977 Mercury Monarch Ghia
1976 Mercury Monarch Grand Ghia
1972 - 1973 Mercury Montego GT
1968 - 1974 Mercury Montego MX, Base
1970 - 1974 Mercury Montego Villager, MX Brougham
1963 - 1967 Mercury Villager Base
1966 - 1967 Mercury Voyager Base
1978 - 1979 Mercury Zephyr Z7, Base
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SKU: 36003083027

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4.6 ★★★★★
Based on 15 reviews
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Product Reviews
N
Nader
San Leandro, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
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
Los Angeles, 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
Louisville, 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
Dallas, 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

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