SKU: 67568991251

Holley 302-2 GM LS Retro-Fit Gen 1 F-Body Oil Pan- Additional Front Clearance

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Description

Holley 302-2 GM LS Retro-Fit Gen 1 F-Body Oil Pan- Additional Front ClearanceOverview: GM LS Swap Oil Pan 1955 1987 GM Muscle Car Classic Car Trucks Cars requiring more clearance at the front half of the oil pan Great for 1967 1969 Camaro Firebird, 1968 1974 Nova Apollo Ventura Omega, 1982 1992 F body, 1978 1987 G body, and 1964 1972 A body applications. GM's popular LS engines are finding their way into a large variety of vehicles. They make great power, plus they're very durable and reliable. Unfortunately, the factory LS

Overview:

GM LS Swap Oil Pan - 1955-1987 GM/Muscle Car/Classic Car/Trucks Cars requiring more clearance at the front half of the oil pan Great for 1967-1969 Camaro/Firebird, 1968-1974 Nova/Apollo/Ventura/Omega, 1982-1992 F-body, 1978-1987 G-body, and 1964-1972 A-body applications. GM's popular LS engines are finding their way into a large variety of vehicles. They make great power, plus they're very durable and reliable. Unfortunately, the factory LS pans don't always fit or they hang too low for today's hot rods. Holley's new LS Retro-fit Engine Oil Pan is designed to help! It provides maximum clearance to the chassis and ground, plus provides an OEM fitment for durability and proper sealing. Distance between the Oil Pickup and the bottom of the pan is .378 Inch. Distance between Pickup Tube and the side of the oil pan is 0.136 Inch.

Features:

  • Designed for LS engine retrofit installations in GM muscle/classic car and truck chassis requiring more oil pan to chassis clearance around the front half of the oil pan.
  • Perfect for: 1967-1969 Camaro/Firebird, 1968-1974 Nova/Apollo/Ventura/Omega, 1982-1992 F-body, 1978-1987 G-body, and 1964-1972 A-body applications.
  • NOTE – Oil pan #302-2 may not be used with LS7 engines or “stroker” engines greater than 3.62”.
  • Can be used anywhere a GM F-Body oil pan can be used
  • New applications will be added as testing confirms fitment
  • Provides OEM fitment - OEM oil filter mounting, OEM oil cooler port provision, OEM engine NVH suppression, OEM flange gasket and sealing, proper structural rigidity and OEM bell-housing attachments.
  • Traditional high-quality cast aluminum appearance with clean exterior styling.
  • Provides maximum clearance for vehicles where the steering linkage is behind the engine crossmember.
  • Cast and machined aluminum
  • Complete kit includes sump baffle, OE style pick-up tube, sump plug, oil filter stud, oil passage cover, etc.

Application:

Year Make Model Submodel Engine Size
Universal

Specs:

Application GM LS Engines
Brand Holley
Choose Your Part Oil Pan Kit
Emission Code 5
Finish Natural Cast
Maximum Stroke 3.62"
Oil Pan Capacity 6.0 Quarts
Oil Pan Type Cast
Product Type Oil Pan Kit
Warranty Limited 90 Day
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SKU: 67568991251

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Jason Bolton
Fort Morgan, US
★★★★★ 5
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Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
J
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James Gianoglio
Boise, US
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This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
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Matt B
Louisville, US
★★★★★ 5
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Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
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SR
Waukegan, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
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K. Wain
Boise, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026

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