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Description
Cometic Ford 239/255 Flathead V8 3.375in Bore 24 Bolt .040 in MLS Head Gasket - RightComprised of multiple embossed layers of stainless steel with the outer layers utilizing a Viton rubber coating. Compressed operating thickness is 0. 098". Cometic MLS (Multi Layer Steel) Head Gaskets provide maximum sealing performance for todays high output engines and require no sealants. MLS gaskets are ideal for both aluminum heads to aluminum blocks and aluminum heads to cast iron blocks. They can withstand the shearing force created by the two
Comprised of multiple embossed layers of stainless steel with the outer layers utilizing a Viton rubber coating. Compressed operating thickness is 0.098". Cometic MLS (Multi-Layer Steel) Head Gaskets provide maximum sealing performance for todays high output engines and require no sealants. MLS gaskets are ideal for both aluminum heads to aluminum blocks and aluminum heads to cast iron blocks. They can withstand the shearing force created by the two materials. MLS gaskets have increased strength because they are comprised of multiple layers of stainless steel; which also creates the ability to rebound and resist corrosion. The outer layers are embossed and coated on both sides with Viton (a flour elastomer rubber based material that is heat resistant to 250 C/ 482 F). Viton is designed to meet the demands of a variety of harsh sealing environments, load conditions, and surface finishes. The center or shim layer is uncoated stainless steel, which can be varied to accommodate multiple thickness requirements.This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 1953 | Ford | Club | Base |
| 1950-1953 | Ford | Country Sedan | Base |
| 1950-1953 | Ford | Country Squire | Base |
| 1952-1953 | Ford | Courier Sedan Delivery | Base |
| 1950-1953 | Ford | Crestline | Base |
| 1949-1952 | Ford | Custom | Base |
| 1952-1953 | Ford | Customline | Base |
| 1949-1951 | Ford | Deluxe | Base |
| 1949-1952 | Ford | F-1 | Base |
| 1953 | Ford | F-100 | Base |
| 1949-1952 | Ford | F-2 | Base |
| 1953 | Ford | F-250 | Base |
| 1949-1952 | Ford | F-3 | Base |
| 1953 | Ford | F-350 | Base |
| 1949-1952 | Ford | F4 | Base |
| 1949 | Ford | Ford | Base |
| 1952-1953 | Ford | Mainline | Base |
| 1950-1953 | Ford | Ranch Wagon | Base |
| 1952-1953 | Ford | Sunliner | Base |
| 1951-1953 | Ford | Victoria | Base |
| 1952-1953 | Mercury | Custom | Base |
| 1949-1952 | Mercury | Mercury | Base |
| 1950-1953 | Mercury | Monterey | Base |
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4.6 ★★★★★
Based on 2261 reviews
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Product Reviews
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
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