SKU: 50134174372

Catalytic Converter for 1983 Dodge Omni 1.6L MagnaFlow 337254

Sale price$305.55 Regular price$339.50
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Description

Catalytic Converter for 1983 Dodge Omni 1.6L MagnaFlow 337254Overview: MagnaFlow California Grade CARB Compliant Direct Fit Catalytic Converter 337254 helps keep the check engine light off. DIY installation is easy with the proper tools (no cutting or welding required). With features including mandrel bent tubing to eliminate flow restrictions and stainless steel construction to resist corrosion, you can have confidence in the quality of this catalytic converter. Using state of the art 3D scanning systems in

Overview:

MagnaFlow California Grade CARB Compliant Direct-Fit Catalytic Converter 337254 helps keep the check engine light off. DIY installation is easy with the proper tools (no cutting or welding required). With features including mandrel-bent tubing to eliminate flow restrictions and stainless steel construction to resist corrosion, you can have confidence in the quality of this catalytic converter. Using state-of-the-art 3D scanning systems in the design process, the MagnaFlow metrology department ensures this new part to fit and function like the original equipment. This direct-fit catalytic converter is designed to fit the 1983 Plymouth Horizon and 1983 Dodge Omni. Avoid potential exhaust leaks by using the included gaskets to get a proper seal. This replacement part is designed to meet or exceed California Air Resource Board requirements, and has undergone additional testing to be certified by CARB for legal use in CA/CARB restricted states for the listed vehicles.

Interchange:
Brand  Interchange Part Number

Application:

Year Make Model Submodel Engine Size
1983 Dodge Omni 1.6L/L4
1983 Plymouth Horizon 1.6L/L4

Specs:

Body Material Stainless Steel
Overall Length (In.) 41
Substrate Material Ceramic
Air Tube Adaptable Yes
Converter Quantity 1
Inlet Attachment Bolt-On
Main Piping Diameter 2
Oxygen Sensor Location None
Finish Stainless Steel
Material Stainless Steel
Series California
Subtitle California / CARB Compliant
Title California Direct-Fit
Type Direct-Fit
Heat Shield Included Yes
Mounting Hardware Included Yes
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SKU: 50134174372

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Jason Bolton
Battle Creek, US
★★★★★ 5
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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
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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
Dallas, US
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A must read!
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
Lowell, 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
Houston, 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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